xx networkis in the Communication Apps Industry

xx network

xxnetwork

Omnity Network, the first protocol to offer Bitcoin Runes cross-chain transfers 100% on-chain with low fees and fast finality, is building an AI-driven blockchain token distribution protocol on top of its Omnichain Asset Hub that will be able to grant any crypto token to users on any social media platforms. At Chain Fusion Day, Bitcoin Nashville, 2024, Omnity Network introduced its new protocol Omnity AI. Omnity AI is an AI-powered multichain protocol for distributing tokens on social media. Anyone (Grant Makers) can create a Grant (with crypto tokens) to invite social media activity (from Grant Takers). Omnity AI will launch its first use case on X this month, supporting Runes Grants. The first Omnity AI agent, xAgent, uses LLM (Large Language Model) natural language processing to determine and distribute Runes grants to X users who engage with it. Here’s how it works: A Grant Maker can deposit Bitcoin Runes to the xAgent, and send a tweet using natural language to set tasks for Grant Takers to complete. When Grant Takers complete the tasks, they are awarded a portion of the Runes Grant based upon their contributions, which they can move to any ICP wallet directly, back to Bitcoin, or a Bitcoin Layer 2 via the Omnity Omnichain Hub. When a Maker creates a Grant on X, the xAgent reads the tweet via X's API, interprets the tweet's intent through LLM, and responds with specific grant settings—all in natural language. After a Maker creates a Grant, Takers can fulfill Makers’ intents on X by offering a Grant to promote their favorite meme coin, for example. Behind the scenes, another AI-powered component, the Evaluator, determines Grant allocations by analyzing Takers' engagements. Makers can influence the rewards by interacting with Takers with positive or negative feedback, such as liking, replying to praise, or disagreeing. This will help the Evaluator become more accurate. In future iterations, fine-tuning the Evaluator will be rewarded by Omnity Network's governance token, $OT, which will be launched later this year. While the core component of Omnity AI’s initial launch, the xAgent, operates within the X social context, Omnity AI plans to develop agents for other social media platforms, like Farcaster. Similarly, while Omnity AI's first grantable asset is Bitcoin Runes, it plans to cover other blockchains, such as Ethereum and its L2s, Solana, TON, etc. This will allow anyone to make a Grant using any crypto tokens on any supported social media platforms, enabling AI-driven multichain crypto asset distribution. Omnity AI is possible because of two foundational  pillars. First, it relies on ICP's Chain Fusion tech stack. Chain Fusion enables smart contracts on ICP to read and write directly to Bitcoin, Ethereum, and other blockchains. In addition, the Omnity team's extensive experience with on-chain light clients equips the Omnity Omnichain Hub to communicate with many different blockchains safely — without relying on any intermediary entities. The second pillar is the ICP DeAI infrastructure. ICP is the only blockchain that supports running AI models on-chain. This gives Omnity AI credible neutrality, transforming it from a token distribution tool to a token distribution protocol. Omnity AI's compute-intensive components, such as xAgent and Evaluator, will initially run off-chain. Omnity AI’s roadmap includes the on-chain migration of the xAgent by the end of 2024, with the Evaluator migrating on-chain once the ICP GPU subnet is ready. At that point, Omnity AI will be fully on-chain, serving all crypto communities without the risk of being manipulated by anyone. By integrating blockchain interoperability within a social media environment and leveraging the mighty force of LLM, Omnity AI will reconceptualize how meme coins issuers and Web3 projects can expand and consolidate their communities on social media. Omnity Network , the first protocol to offer Bitcoin Runes cross-chain transfers 100% on-chain with low fees and fast finality, is building an AI-driven blockchain token distribution protocol on top of its Omnichain Asset Hub that will be able to grant any crypto token to users on any social media platforms. Omnity Network Omnity Network Bitcoin Runes cross-chain transfers Bitcoin Runes cross-chain transfers At Chain Fusion Day , Bitcoin Nashville, 2024, Omnity Network introduced its new protocol Omnity AI. Omnity AI is an AI-powered multichain protocol for distributing tokens on social media. Anyone (Grant Makers) can create a Grant (with crypto tokens) to invite social media activity (from Grant Takers). Chain Fusion Day Chain Fusion Day Omnity AI will launch its first use case on X this month, supporting Runes Grants. The first Omnity AI agent, xAgent, uses LLM (Large Language Model) natural language processing to determine and distribute Runes grants to X users who engage with it. Here’s how it works: A Grant Maker can deposit Bitcoin Runes to the xAgent, and send a tweet using natural language to set tasks for Grant Takers to complete. When Grant Takers complete the tasks, they are awarded a portion of the Runes Grant based upon their contributions, which they can move to any ICP wallet directly, back to Bitcoin, or a Bitcoin Layer 2 via the Omnity Omnichain Hub. When a Maker creates a Grant on X, the xAgent reads the tweet via X's API, interprets the tweet's intent through LLM, and responds with specific grant settings—all in natural language. After a Maker creates a Grant, Takers can fulfill Makers’ intents on X by offering a Grant to promote their favorite meme coin, for example. Behind the scenes, another AI-powered component, the Evaluator, determines Grant allocations by analyzing Takers' engagements. Makers can influence the rewards by interacting with Takers with positive or negative feedback, such as liking, replying to praise, or disagreeing. This will help the Evaluator become more accurate. In future iterations, fine-tuning the Evaluator will be rewarded by Omnity Network's governance token, $OT, which will be launched later this year. While the core component of Omnity AI’s initial launch, the xAgent, operates within the X social context, Omnity AI plans to develop agents for other social media platforms, like Farcaster. Farcaster. Farcaster. Similarly, while Omnity AI's first grantable asset is Bitcoin Runes, it plans to cover other blockchains, such as Ethereum and its L2s, Solana, TON, etc. This will allow anyone to make a Grant using any crypto tokens on any supported social media platforms, enabling AI-driven multichain crypto asset distribution. Omnity AI is possible because of two foundational  pillars. First, it relies on ICP's Chain Fusion tech stack. Chain Fusion enables smart contracts on ICP to read and write directly to Bitcoin, Ethereum, and other blockchains. In addition, the Omnity team's extensive experience with on-chain light clients equips the Omnity Omnichain Hub to communicate with many different blockchains safely — without relying on any intermediary entities. Chain Fusion Chain Fusion on-chain light clients on-chain light clients The second pillar is the ICP DeAI infrastructure . ICP is the only blockchain that supports running AI models on-chain. This gives Omnity AI credible neutrality, transforming it from a token distribution tool to a token distribution protocol. DeAI infrastructure DeAI infrastructure Omnity AI's compute-intensive components, such as xAgent and Evaluator, will initially run off-chain. Omnity AI’s roadmap includes the on-chain migration of the xAgent by the end of 2024, with the Evaluator migrating on-chain once the ICP GPU subnet is ready. At that point, Omnity AI will be fully on-chain, serving all crypto communities without the risk of being manipulated by anyone. By integrating blockchain interoperability within a social media environment and leveraging the mighty force of LLM, Omnity AI will reconceptualize how meme coins issuers and Web3 projects can expand and consolidate their communities on social media.

Omnity Network Launches Omnity AI 

Omnity Network Omnity AI চালু করেছে 

Omnity Network führt Omnity AI ein

Omnity Network lanza Omnity AI 

Omnity Network lance Omnity AI 

ओम्निटी नेटवर्क ने ओम्निटी एआई लॉन्च किया

オムニティネットワークがオムニティAIを発表

옴니티 네트워크(Omnity Network), 옴니티 AI 출시 

Omnity Network lança Omnity AI 

Omnity Network запускает Omnity AI 

Omnity Network, Omnity AI'yi Başlattı 

Mạng Omnity ra mắt Omnity AI 

Omnity Network 推出 Omnity AI

Hello guys, in the previous article, we talked about the basic parts of the network like Network - Layer Network - Packet - OSI Models, and so on. This time, we want to talk about network access services. So, First Of All, Whats network access services (NAS)? NAS refers to services that allow the users to access computer networks or the internet. These services encompass various methods and tech for connection to a network and can be used in different environments, including home networks or public networks. Key Components of Network Access: Authentication

The process of verifying and confirming the identity of a user. This typically involves entering a username and password.


Authorization

Once the user identity is verified, this step determines what resources and services the user has access to.


Accounting

Recording and tracking user activities on the network for various purposes such as security, resource management, and billing.


Access Control

Managing and monitoring user access to the network and its resources based on defined policies and rules. Types of Network Access Services: Dial-up

Using telephone lines to connect to the internet of a network.


Broadband

Includes DSL, cable, fiber optics, and other high-speed internet connection methods.


Wireless Networks WI-FI

Connecting to local wireless networks.


VPN (Virtual-Private-Network)

Creating a source connection to another network over the internet.


Mobile Access

Using cellular networks (such as 3G 4G 5G) to connect to the internet. Applications of Network Access Services Companies and Organizations

This is to connect employees to the internal company network and access internal resources remotely .


Internet Service Providers(ISPs)

To provide internet access to residential and business customers.


Public Places

Such as hotels, airports, and coffee shops that offer public WI-FI services. Protocols & TECH RADIUS (Remote Authentication Dial-in User Service)

A networking protocol for authentication and authorization services


TACACS+ (Terminal Access Controller Access-Control System Plus)

A protocol for providing authentication and authorization services


802.1X:

A standard for networking access control based on the IEEE protocol Network Access Services are a fundamental part of network management and information security, ensuring secure and efficient user access to network resources. Thanks for reading. Regards Elliot :) Previous Article →  https://hackernoon.com/network-part-1-a-beginners-guide Hello guys, in the previous article, we talked about the basic parts of the network like Network - Layer Network - Packet - OSI Models, and so on. This time, we want to talk about network access services. So, First Of All, Whats network access services (NAS)? So, First Of All, Whats network access services (NAS)? NAS refers to services that allow the users to access computer networks or the internet. These services encompass various methods and tech for connection to a network and can be used in different environments, including home networks or public networks. Key Components of Network Access: Key Components of Network Access: Authentication

The process of verifying and confirming the identity of a user. This typically involves entering a username and password. Authorization

Once the user identity is verified, this step determines what resources and services the user has access to. Accounting

Recording and tracking user activities on the network for various purposes such as security, resource management, and billing. Access Control

Managing and monitoring user access to the network and its resources based on defined policies and rules. Authentication The process of verifying and confirming the identity of a user. This typically involves entering a username and password. The process of verifying and confirming the identity of a user. This typically involves entering a username and password. The process of verifying and confirming the identity of a user. This typically involves entering a username and password. Authorization Once the user identity is verified, this step determines what resources and services the user has access to. Once the user identity is verified, this step determines what resources and services the user has access to. Once the user identity is verified, this step determines what resources and services the user has access to. Accounting Recording and tracking user activities on the network for various purposes such as security, resource management, and billing. Recording and tracking user activities on the network for various purposes such as security, resource management, and billing. Recording and tracking user activities on the network for various purposes such as security, resource management, and billing. Access Control Managing and monitoring user access to the network and its resources based on defined policies and rules. Managing and monitoring user access to the network and its resources based on defined policies and rules. Managing and monitoring user access to the network and its resources based on defined policies and rules. Types of Network Access Services: Types of Network Access Services: Dial-up

Using telephone lines to connect to the internet of a network. Broadband

Includes DSL, cable, fiber optics, and other high-speed internet connection methods. Wireless Networks WI-FI

Connecting to local wireless networks. VPN (Virtual-Private-Network)

Creating a source connection to another network over the internet. Mobile Access

Using cellular networks (such as 3G 4G 5G) to connect to the internet. Dial-up Using telephone lines to connect to the internet of a network. Using telephone lines to connect to the internet of a network. Using telephone lines to connect to the internet of a network. Broadband Includes DSL, cable, fiber optics, and other high-speed internet connection methods. Includes DSL, cable, fiber optics, and other high-speed internet connection methods. Includes DSL, cable, fiber optics, and other high-speed internet connection methods. Wireless Networks WI-FI Connecting to local wireless networks. Connecting to local wireless networks. Connecting to local wireless networks. VPN (Virtual-Private-Network) Creating a source connection to another network over the internet. Creating a source connection to another network over the internet. Creating a source connection to another network over the internet. Mobile Access Using cellular networks (such as 3G 4G 5G) to connect to the internet. Using cellular networks (such as 3G 4G 5G) to connect to the internet. Using cellular networks (such as 3G 4G 5G) to connect to the internet. Applications of Network Access Services Companies and Organizations

This is to connect employees to the internal company network and access internal resources remotely . Internet Service Providers(ISPs)

To provide internet access to residential and business customers. Public Places

Such as hotels, airports, and coffee shops that offer public WI-FI services. Companies and Organizations This is to connect employees to the internal company network and access internal resources remotely . This is to connect employees to the internal company network and access internal resources remotely . This is to connect employees to the internal company network and access internal resources remotely . Internet Service Providers(ISPs) To provide internet access to residential and business customers. To provide internet access to residential and business customers. To provide internet access to residential and business customers. Public Places Such as hotels, airports, and coffee shops that offer public WI-FI services. Such as hotels, airports, and coffee shops that offer public WI-FI services. Such as hotels, airports, and coffee shops that offer public WI-FI services. Protocols & TECH RADIUS (Remote Authentication Dial-in User Service)

A networking protocol for authentication and authorization services TACACS+ (Terminal Access Controller Access-Control System Plus)

A protocol for providing authentication and authorization services 802.1X:

A standard for networking access control based on the IEEE protocol RADIUS (Remote Authentication Dial-in User Service) A networking protocol for authentication and authorization services A networking protocol for authentication and authorization services A networking protocol for authentication and authorization services TACACS+ (Terminal Access Controller Access-Control System Plus) A protocol for providing authentication and authorization services A protocol for providing authentication and authorization services A protocol for providing authentication and authorization services 802.1X: A standard for networking access control based on the IEEE protocol A standard for networking access control based on the IEEE protocol A standard for networking access control based on the IEEE protocol Network Access Services are a fundamental part of network management and information security, ensuring secure and efficient user access to network resources. Thanks for reading. Regards Elliot :) Previous Article → https://hackernoon.com/network-part-1-a-beginners-guide https://hackernoon.com/network-part-1-a-beginners-guide

Network++ Part 2

DIY Fake News Detector: Unmask misinformation with Recurrent Neural Networks

COPA v. Wright, Court Filing, retrieved on January 29, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 27 of 42. 25. “Block diffusion within bitcoin” (Reliance Document) {ID_000367} / {L3/185/1} 470. The document purports to be precursor work to the Bitcoin White Paper relating to network theory and mentioning “bitcoin”. It is dated to the period 15 August 2008 to 8 September 2008. (a) COPA’s Reasons for Alleging Forgery 471. The document has been backdated. [PM30 [21-24]]. 472. The document contains content taken from a third-party source available online which was published not before 29 April 2012 (the “2012 ResearchGate Article”). [PM30 [8- 13] 473. The document includes a reference section that closely matches the 2012 ResearchGate Article. However, five references which would have been anachronistic to 2008 have been deleted from the document. Although the five references have been removed from the references section, the main body of the text still mentions 4 out of 5 of them. [PM30 [14-18]]. 474. The document contains text formatted in fonts which are not typical for Microsoft Windows and MS Word documents, but which fonts are included in the 2012 ResearchGate Article. Not only the text, but also its font formatting, has been copied from the 2012 ResearchGate article. [PM30 [19-20]]. 475. The document was created within 1 minute before {ID_000371}, another “Lynn Wright document” bearing independent indicia of tampering. [PM27 [17b]]. 476. ID_00367 has an implausible edit time in excess of 24 days. During that time it was saved only once, implying that it was left unsaved for 34,881 minutes before being saved. [PM30 [5-8]]. 477. The document contains passages of red text and placeholder brackets apparently indicating that the document was in the process of being edited with a view to changing the references, but without that process being finalised before disclosure. [PM30 [24]]. 478. The document was emailed from Dr Wright to Lynn Wright on 18 January 2020. The email contains several manipulated documents purported to be in the custody of Lynn Wright. [{ID_003930}, PM30 [1], PM 26 [25-38]]. (b) COPA’s Reasons for Inferring Dr Wright’s Knowledge / Responsibility 479. Dr Wright has positively asserted that this is a document on which he primarily relies as supporting his claim to be Satoshi Nakamoto. 480. In his evidence in these proceedings, Dr Wright relies on purported work of the type referred to in this document as “foundational” for Bitcoin. [Wright1 [53-54]]. 481. The effect of the tampering is therefore to make the document appear to be supportive of Dr Wright’s claim to be Satoshi Nakamoto (suggesting work by Dr Wright on a subject of interest to him, but with reference to Bitcoin), contrary to fact. 482. In these proceedings (and previously), Dr Wright has claimed that his development of Bitcoin was influenced by work on networks as covered by this document. It is to be inferred that this forgery was done to support that aspect of his claim. [Wright1 [54]]. 483. Although the document metadata presents Lynn Wright to have been the only author, it was actually created by Dr Wright in the name of Lynn Wright after February 2013, and sent from Dr Wright to Lynn Wright by email long after they were separated, contained in a zip file along with many other files bearing evidence of backdating and tampering including several documents on which Dr Wright relies. The metadata of that zip file is itself also irregular. [{ID_003930}, PM30 [1], PM26 [25-38]]. 484. In his first witness statement in these proceedings, Dr Wright lists this document as a document to which he has been referred when preparing his evidence. (c) Dr Wright’s Explanations and COPA’s Rebuttal 485. In Appendix B to Wright11, Dr Wright sought to explain away the presence of content from the 2012 ResearchGate Article by claiming that he had engaged in academic exchanges in which it was commonplace to share working notes: {CSW/2/36}. When pressed in oral evidence, he doubled down by saying that he had received one or more prior versions of the Chinese academics’ article: {Day2/147:14} to {Day2/153:7}. 486. Dr Wright sought to explain the presence in his document of non-standard fonts which appear in the 2012 ResearchGate Article by saying that they were imported from an unidentified Word document: {CSW/2/39}. 487. COPA submitted that this explanation should be rejected as dishonest for the following reasons: 487.1. The document replicates whole sections from the 2012 ResearchGate Article. Dr Wright’s story therefore assumes that he had an advanced pre-publication paper from Chinese academics working in a field different from his own, and that he had this document years before those academics actually published their work. That is simply incredible. 487.2. Dr Wright has been unable to provide any evidence of ever having had contact with these academics and has not disclosed the supposed pre-publication paper. 487.3. The text which Dr Wright copied contained references to at least four works which themselves post-dated the supposed date of Dr Wright’s document. His story therefore assumes that either (i) the Chinese academics themselves happened to have pre-publication versions of all those other works while they were writing their pre-publication draft or (ii) he himself had pre-publication versions of the other works and happened to cite them in the places where the Chinese academics would later cite them in their own paper. Each of those possibilities beggars belief. 487.4. On Dr Wright’s account, either it’s a coincidence that his document happens to contain non-standard fonts which also feature in the ResearchGate article or the Chinese academics had produced a draft including those fonts years before its ultimate publication. This is another implausible but essential feature of the story. 487.5. On any view, Dr Wright’s document copies extensively from text which appears in the 2012 ResearchGate Article, but it does not reference the Chinese academics whose work is being copied. It is difficult to see why Dr Wright would produce a document in this way for legitimate research purposes. 487.6. Dr Wright’s document is a very strange one, for example because (at p3) it includes a scheme of notations (taken from the 2012 ResearchGate Article) for equations which are themselves omitted. It gives every impression of a work which has been created hastily, based on the 2012 ResearchGate Article, as part of the false trail of supposed academic work leading up to production of the Bitcoin White Paper. (d) Conclusion 488. In my judgment, this document is plainly a clumsy forgery created by Dr Wright. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.

This court case retrieved on January 29, 2024, judiciary.uk is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. COPA v. Wright, Court Filing, retrieved on January 29, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 27 of 42. COPA v. Wright, Court Filing, retrieved on January 29, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part of this filing here . This part is 27 of 42. HackerNoon’s Legal PDF Series HackerNoon’s Legal PDF Series here here 25. “Block diffusion within bitcoin” (Reliance Document) {ID_000367} / {L3/185/1} 470. The document purports to be precursor work to the Bitcoin White Paper relating to network theory and mentioning “bitcoin”. It is dated to the period 15 August 2008 to 8 September 2008. (a) COPA’s Reasons for Alleging Forgery (a) COPA’s Reasons for Alleging Forgery 471. The document has been backdated. [PM30 [21-24]]. 472. The document contains content taken from a third-party source available online which was published not before 29 April 2012 (the “2012 ResearchGate Article”). [PM30 [8- 13] 473. The document includes a reference section that closely matches the 2012 ResearchGate Article. However, five references which would have been anachronistic to 2008 have been deleted from the document. Although the five references have been removed from the references section, the main body of the text still mentions 4 out of 5 of them. [PM30 [14-18]]. 474. The document contains text formatted in fonts which are not typical for Microsoft Windows and MS Word documents, but which fonts are included in the 2012 ResearchGate Article. Not only the text, but also its font formatting, has been copied from the 2012 ResearchGate article. [PM30 [19-20]]. 475. The document was created within 1 minute before {ID_000371}, another “Lynn Wright document” bearing independent indicia of tampering. [PM27 [17b]]. 476. ID_00367 has an implausible edit time in excess of 24 days. During that time it was saved only once, implying that it was left unsaved for 34,881 minutes before being saved. [PM30 [5-8]]. 477. The document contains passages of red text and placeholder brackets apparently indicating that the document was in the process of being edited with a view to changing the references, but without that process being finalised before disclosure. [PM30 [24]]. 478. The document was emailed from Dr Wright to Lynn Wright on 18 January 2020. The email contains several manipulated documents purported to be in the custody of Lynn Wright. [{ID_003930}, PM30 [1], PM 26 [25-38]]. (b) COPA’s Reasons for Inferring Dr Wright’s Knowledge / Responsibility (b) COPA’s Reasons for Inferring Dr Wright’s Knowledge / Responsibility 479. Dr Wright has positively asserted that this is a document on which he primarily relies as supporting his claim to be Satoshi Nakamoto. 480. In his evidence in these proceedings, Dr Wright relies on purported work of the type referred to in this document as “foundational” for Bitcoin. [Wright1 [53-54]]. 481. The effect of the tampering is therefore to make the document appear to be supportive of Dr Wright’s claim to be Satoshi Nakamoto (suggesting work by Dr Wright on a subject of interest to him, but with reference to Bitcoin), contrary to fact. 482. In these proceedings (and previously), Dr Wright has claimed that his development of Bitcoin was influenced by work on networks as covered by this document. It is to be inferred that this forgery was done to support that aspect of his claim. [Wright1 [54]]. 483. Although the document metadata presents Lynn Wright to have been the only author, it was actually created by Dr Wright in the name of Lynn Wright after February 2013, and sent from Dr Wright to Lynn Wright by email long after they were separated, contained in a zip file along with many other files bearing evidence of backdating and tampering including several documents on which Dr Wright relies. The metadata of that zip file is itself also irregular. [{ID_003930}, PM30 [1], PM26 [25-38]]. 484. In his first witness statement in these proceedings, Dr Wright lists this document as a document to which he has been referred when preparing his evidence. (c) Dr Wright’s Explanations and COPA’s Rebuttal (c) Dr Wright’s Explanations and COPA’s Rebuttal 485. In Appendix B to Wright11, Dr Wright sought to explain away the presence of content from the 2012 ResearchGate Article by claiming that he had engaged in academic exchanges in which it was commonplace to share working notes: {CSW/2/36}. When pressed in oral evidence, he doubled down by saying that he had received one or more prior versions of the Chinese academics’ article: {Day2/147:14} to {Day2/153:7}. 486. Dr Wright sought to explain the presence in his document of non-standard fonts which appear in the 2012 ResearchGate Article by saying that they were imported from an unidentified Word document: {CSW/2/39}. 487. COPA submitted that this explanation should be rejected as dishonest for the following reasons: 487.1. The document replicates whole sections from the 2012 ResearchGate Article. Dr Wright’s story therefore assumes that he had an advanced pre-publication paper from Chinese academics working in a field different from his own, and that he had this document years before those academics actually published their work. That is simply incredible. 487.2. Dr Wright has been unable to provide any evidence of ever having had contact with these academics and has not disclosed the supposed pre-publication paper. 487.3. The text which Dr Wright copied contained references to at least four works which themselves post-dated the supposed date of Dr Wright’s document. His story therefore assumes that either (i) the Chinese academics themselves happened to have pre-publication versions of all those other works while they were writing their pre-publication draft or (ii) he himself had pre-publication versions of the other works and happened to cite them in the places where the Chinese academics would later cite them in their own paper. Each of those possibilities beggars belief. 487.4. On Dr Wright’s account, either it’s a coincidence that his document happens to contain non-standard fonts which also feature in the ResearchGate article or the Chinese academics had produced a draft including those fonts years before its ultimate publication. This is another implausible but essential feature of the story. 487.5. On any view, Dr Wright’s document copies extensively from text which appears in the 2012 ResearchGate Article, but it does not reference the Chinese academics whose work is being copied. It is difficult to see why Dr Wright would produce a document in this way for legitimate research purposes. 487.6. Dr Wright’s document is a very strange one, for example because (at p3) it includes a scheme of notations (taken from the 2012 ResearchGate Article) for equations which are themselves omitted. It gives every impression of a work which has been created hastily, based on the 2012 ResearchGate Article, as part of the false trail of supposed academic work leading up to production of the Bitcoin White Paper. (d) Conclusion (d) Conclusion 488. In my judgment, this document is plainly a clumsy forgery created by Dr Wright. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on January 29, 2024, judiciary.uk is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on January 29, 2024, judiciary.uk is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. judiciary.uk judiciary.uk

COPA Presents Evidence of Forgery in Wright's Bitcoin Network Theory Doc

Founded in 2017, Morpheus.Network, a Toronto-based company, has harnessed blockchain technology to address the complex challenges that plague global logistics and supply chain. Dan Weinberger, co-founder and CEO of Morpheus.Network, brings over 25 years of supply chain expertise to the table. His deep understanding of the industry's pain points drove the creation of Morpheus.Network. "The inspiration was a bit selfish," Weinberger admits. "I knew the headaches I was experiencing first-hand—compliance, documentation, and filing. We envisioned a solution that could alleviate these burdens." Weinberger and his long-time friend and co-founder, Noam Eppel, conceptualized Morpheus.Network during a conversation about the inefficiencies they faced. A simple sketch on a napkin laid the foundation for a comprehensive blockchain-based solution that integrates seamlessly with existing systems. The napkin still exists and is framed in Weinberger’s office for posterity. Morpheus.Network employs blockchain technology to ensure all stakeholders in the supply chain have access to the same immutable data. "Blockchain's inherent advantage is that you can trust the data," Weinberger explains. "Everyone views the same document at the same time, regardless of location. “It’s an amazing use of blockchain where everyone's viewing the same document at the same time, in a digital form, from around the world, doesn't matter. It doesn't matter if you are in China, United States or down South America, you're viewing that exact same document on chain,” he says. This transparency eliminates errors and inefficiencies, paving the way for smoother operations. Smart contracts further enhance the system by automating workflows. From IoT devices setting up geofences to customs documentation and delivery notifications, Morpheus.Network's automated processes ensure compliance and accuracy, preventing costly delays and fines. “To give you an example, if you're importing a product into the United States, you need to file a ISF (Import Security Filing) beforehand. If you don’t, there may be delays, expensive fees or possibly your goods will be sent back to the country of origin. “So, we avoid all that by making sure we have these automated workflows. Finally, we make sure the documentation is available in time, as well as making sure that all the documents are accurate, without any human error often associated with copy and paste exercises.” This ensures trusted, accurate and transparent data. “Everyone is viewing live, immutable data is immutable. The inherent advantage of blockchain is that you can trust the data on chain. And when there are different stakeholders from different places around the world, everyone can trust the data and know that original data has never been manipulated.” Addressing Global Supply Chain Challenges Supply chains are notoriously complex, involving numerous moving parts, compliance requirements, and geopolitical considerations. Morpheus.Network tackles these challenges head-on, with solutions tailored to specific industry needs, including food certification and cross-border trade. A notable example is their recent project with the Government of Mongolia. Morpheus.Network digitized the country's certificate of origin process, transforming a manual, paper-based system into a streamlined, blockchain-enabled digital process. "It's about making things run smoother and faster," says Weinberger. "We've shown Mongolia can have one of the most advanced certificate of origin solutions in the world." "This is the fourth government project we've undertaken," remarked Dan Weinberger. "I have also collaborated extensively with the United Nations, where I teach a masterclass on paperless trade. Many of the accolades we receive for our work with governments, such as in Argentina and Uganda, stem from the credibility we've built through our projects with other governments and the UN." Weinberger elaborated on the scope of their work, again referencing the example of the Certificate of Origin solution implemented for Mongolia. "Currently, we're participating in a European sandbox initiative focused on digitalizing documentation to streamline shipping across the EU." These efforts exemplify the company's strategy of expanding projects with partners and clients, proving their effectiveness, and then replicating these successes with new partners. "It's about growing projects, proving our capabilities, and then scaling up by working with the next partner or client," Weinberger explained. Adopting advanced supply chain techniques is no longer optional—it's essential for staying competitive. Companies that have already integrated these innovative methods are reaping significant benefits, while those that lag behind risk falling by the wayside, unable to compete with more technologically advanced peers. In the realm of supply chains, efficiency isn't just about speeding up shipping processes. It's about ensuring accuracy and compliance at every step. “Take the food and beverage industry, for example. Proper food certification is a critical part of the supply chain. Companies can't simply decide to ship products without the necessary food certificates. At Morpheus.Network, we incorporate food certification into supply chain documentation, ensuring that everything is handled correctly, especially when dealing with cross-border shipments. “Our approach integrates various elements—food certification, customs documentation, and more—into an automated system. This automation tackles existing inefficiencies, making processes smoother and more reliable,” he says. “It's exciting to engage with companies about their current practices and introduce them to more efficient methods. The biggest challenge, however, is education. Many businesses are not aware that there are better ways to manage their supply chains. Our goal is to show them how these advanced techniques can transform their operations, leading to greater efficiency and competitiveness.” Morpheus.Network's agnostic middleware approach sets it apart from competitors. Instead of replacing existing IT systems, it integrates seamlessly with them, supporting various ERP and TMS systems. This flexibility makes it easier for companies to adopt Morpheus.Network's solutions without overhauling their entire infrastructure. “We enable companies to continue using their existing IT stacks, whether they're utilizing SAP ERP, Oracle ERP, JD Edwards, Sage, Microsoft Dynamics, or other systems. Our middleware seamlessly integrates with various Transportation Management Systems (TMS), such as Magaya and other Cloud-based solutions, without the need to replace any of these systems. “Our middleware sits between these IT systems, embracing the specific technologies companies already use. This approach simplifies the integration of our solutions into their current processes. By being an agnostic middleware, we differentiate ourselves from others who insist on replacing existing systems with their own. Instead, we enhance backend automation based on the current systems companies have in place. “This strategy has proven advantageous. For example, we have successfully integrated our solutions with over 30 different ERPs into a single system. If we had required companies to switch to a single ERP like SAP, it would have involved a multimillion-dollar implementation. Instead, we incorporated the data from their existing systems into their supply chain at a much lower cost.” This approach not only preserves companies' existing investments but also enhances efficiency and integration, making Morpheus.Network a valuable partner in optimizing supply chain management. Currently, the company is expanding its reach to small and medium enterprises (SMEs) with a new product called Speed.supply. This self-managed platform allows SMEs to automate documentation, insurance, and IoT integration, with blockchain ensuring data integrity. Looking ahead, Weinberger sees blockchain as the backbone of data integrity, with AI and machine learning revolutionizing demand forecasting, maintenance, and congestion avoidance. "Making supply chains more efficient is a $2 trillion opportunity," Weinberger notes, emphasizing the importance of technology in driving these efficiencies. “Right now, we're thinking about our kids and their future. When it comes to carbon emissions, there's nothing in this world that emits carbon not even close, as much as the supply chains of businesses. 90% of all carbon emissions are the supply chains of businesses” (a statistic from the EPA (Environmental Protection Agency) Morpheus.Network's success is underpinned by a collaborative and innovative company culture. "We operate with a flat hierarchy," says Weinberger. "Everyone feels ownership of their projects and understands the bigger picture—making supply chains more efficient for the environment and the economy." As Morpheus.Network continues to grow, it remains dedicated to transforming the supply chain industry, proving that technological innovation and sustainability can go hand in hand. Founded in 2017, Morpheus.Network, a Toronto-based company, has harnessed blockchain technology to address the complex challenges that plague global logistics and supply chain. Dan Weinberger, co-founder and CEO of Morpheus.Network, brings over 25 years of supply chain expertise to the table. His deep understanding of the industry's pain points drove the creation of Morpheus.Network. "The inspiration was a bit selfish," Weinberger admits. "I knew the headaches I was experiencing first-hand—compliance, documentation, and filing. We envisioned a solution that could alleviate these burdens." Weinberger and his long-time friend and co-founder, Noam Eppel, conceptualized Morpheus.Network during a conversation about the inefficiencies they faced. A simple sketch on a napkin laid the foundation for a comprehensive blockchain-based solution that integrates seamlessly with existing systems. The napkin still exists and is frame d in Weinberger’s office for posterity. d Morpheus.Network employs blockchain technology to ensure all stakeholders in the supply chain have access to the same immutable data. "Blockchain's inherent advantage is that you can trust the data," Weinberger explains. "Everyone views the same document at the same time, regardless of location. “It’s an amazing use of blockchain where everyone's viewing the same document at the same time, in a digital form, from around the world, doesn't matter. It doesn't matter if you are in China, United States or down South America, you're viewing that exact same document on chain,” he say s. s. This transparency eliminates errors and inefficiencies, paving the way for smoother operations. Smart contracts further enhance the system by automating workflows. From IoT devices setting up geofences to customs documentation and delivery notifications, Morpheus.Network's automated processes ensure compliance and accuracy, preventing costly delays and fines. “To give you an example, if you're importing a product into the United States, you need to file a ISF (Import Security Filing) beforehand. If you don’t, there may be delays, expensive fees or possibly your goods will be sent back to the country of origin. “So, we avoid all that by making sure we have these automated workflows. Finally, we make sure the documentation is available in time, as well as making sure that all the documents are accurate, without any human error often associated with copy and paste exercises.” This ensures trusted, accurate and transparent data. “Everyone is viewing live, immutable data is immutable. The inherent advantage of blockchain is that you can trust the data on chain. And when there are different stakeholders from different places around the world, everyone can trust the data and know that original data has never been manipulated.” Addressing Global Supply Chain Challenges Addressing Global Supply Chain Challenges Supply chains are notoriously complex, involving numerous moving parts, compliance requirements, and geopolitical considerations. Morpheus.Network tackles these challenges head-on, with solutions tailored to specific industry needs, including food certification and cross-border trade. A notable example is their recent project with the Government of Mongolia. Morpheus.Network digitized the country's certificate of origin process, transforming a manual, paper-based system into a streamlined, blockchain-enabled digital process. "It's about making things run smoother and faster," says Weinberger. "We've shown Mongolia can have one of the most advanced certificate of origin solutions in the world." "This is the fourth government project we've undertaken," remarked Dan Weinberger. "I have also collaborated extensively with the United Nations, where I teach a masterclass on paperless trade. Many of the accolades we receive for our work with governments, such as in Argentina and Uganda, stem from the credibility we've built through our projects with other governments and the UN." Weinberger elaborated on the scope of their work, again referencing the example of the Certificate of Origin solution implemented for Mongolia. "Currently, we're participating in a European sandbox initiative focused on digitalizing documentation to streamline shipping across the EU." These efforts exemplify the company's strategy of expanding projects with partners and clients, proving their effectiveness, and then replicating these successes with new partners. "It's about growing projects, proving our capabilities, and then scaling up by working with the next partner or client," Weinberger explained. Adopting advanced supply chain techniques is no longer optional—it's essential for staying competitive. Companies that have already integrated these innovative methods are reaping significant benefits, while those that lag behind risk falling by the wayside, unable to compete with more technologically advanced peers. In the realm of supply chains, efficiency isn't just about speeding up shipping processes. It's about ensuring accuracy and compliance at every step. “Take the food and beverage industry, for example. Proper food certification is a critical part of the supply chain. Companies can't simply decide to ship products without the necessary food certificates. At Morpheus.Network, we incorporate food certification into supply chain documentation, ensuring that everything is handled correctly, especially when dealing with cross-border shipments. “Our approach integrates various elements—food certification, customs documentation, and more—into an automated system. This automation tackles existing inefficiencies, making processes smoother and more reliable,” he says. “It's exciting to engage with companies about their current practices and introduce them to more efficient methods. The biggest challenge, however, is education. Many businesses are not aware that there are better ways to manage their supply chains. Our goal is to show them how these advanced techniques can transform their operations, leading to greater efficiency and competitiveness.” Morpheus.Network's agnostic middleware approach sets it apart from competitors. Instead of replacing existing IT systems, it integrates seamlessly with them, supporting various ERP and TMS systems. This flexibility makes it easier for companies to adopt Morpheus.Network's solutions without overhauling their entire infrastructure. “We enable companies to continue using their existing IT stacks, whether they're utilizing SAP ERP, Oracle ERP, JD Edwards, Sage, Microsoft Dynamics, or other systems. Our middleware seamlessly integrates with various Transportation Management Systems (TMS), such as Magaya and other Cloud-based solutions, without the need to replace any of these systems. “Our middleware sits between these IT systems, embracing the specific technologies companies already use. This approach simplifies the integration of our solutions into their current processes. By being an agnostic middleware, we differentiate ourselves from others who insist on replacing existing systems with their own. Instead, we enhance backend automation based on the current systems companies have in place. “This strategy has proven advantageous. For example, we have successfully integrated our solutions with over 30 different ERPs into a single system. If we had required companies to switch to a single ERP like SAP, it would have involved a multimillion-dollar implementation. Instead, we incorporated the data from their existing systems into their supply chain at a much lower cost.” This approach not only preserves companies' existing investments but also enhances efficiency and integration, making Morpheus.Network a valuable partner in optimizing supply chain management. Currently, the company is expanding its reach to small and medium enterprises (SMEs) with a new product called Speed.supply. This self-managed platform allows SMEs to automate documentation, insurance, and IoT integration, with blockchain ensuring data integrity. Looking ahead, Weinberger sees blockchain as the backbone of data integrity, with AI and machine learning revolutionizing demand forecasting, maintenance, and congestion avoidance. "Making supply chains more efficient is a $2 trillion opportunity," Weinberger notes, emphasizing the importance of technology in driving these efficiencies. “Right now, we're thinking about our kids and their future. When it comes to carbon emissions, there's nothing in this world that emits carbon not even close, as much as the supply chains of businesses. 90% of all carbon emissions are the supply chains of businesses” (a statistic from the EPA (Environmental Protection Agency) Morpheus.Network's success is underpinned by a collaborative and innovative company culture. "We operate with a flat hierarchy," says Weinberger. "Everyone feels ownership of their projects and understands the bigger picture—making supply chains more efficient for the environment and the economy." As Morpheus.Network continues to grow, it remains dedicated to transforming the supply chain industry, proving that technological innovation and sustainability can go hand in hand.

Morpheus.Network: Changing the Face of  Global Supply Chains

**HAMBURG, Germany, July 23rd, 2024/Chainwire/--**Pioneering the Future of Decentralized Cloud with real-world demand, Utilizing SLA Oracles and enterprise-grade hardware from top providers, ICN is building a decentralized multi-service cloud platform. Impossible Cloud Network (ICN), a decentralized cloud ecosystem with roots in Web2, has revealed its roadmap for an open, multi-service platform. Competing with giants like AWS, GCP, and Microsoft Azure, ICN connects hardware providers, service providers, and monitoring nodes through the ICN protocol. The protocol is designed to balance supply and demand in a blockchain-based marketplace, ensuring efficient scalability and minimal subsidies. ICN's architecture includes hardware for scalability, services for composable innovation, and monitoring for trust. ICN aims to support a variety of cloud services, including storage and GPU compute, offering comprehensive solutions for diverse business needs. With Impossible Cloud GmbH as the first service provider, the platform has already proven that it can facilitate revenue generation by delivering reliable services with industry-leading performance. Impossible Cloud has previously secured €17 million in funding from renowned Web3 and Web2 investors, including 1kx, HV Capital, Protocol Labs, very early Ventures, LBBW VC, and TS Ventures. Newly Released Litepaper Now Available The Litepaper of Impossible Cloud Network (ICN) has now released - covering an in-depth overview of ICN's vision and development plans. The document outlines the technical and strategic milestones guiding the platform's evolution, including key features, architectural design, and future prospects. A particular focus is on SLA Oracles, which are essential for monitoring and ensuring the performance and reliability of the network for business customers. Kai Wawrzinek, CEO & Founder of ICN, states: "Our architecture has a multi-layered approach: The Hardware Layer ensures unprecedented scalability through decentralized hardware contributions. The Service Layer facilitates composability, allowing open-source software to integrate into larger constructions. Lastly, the Monitoring Layer, composed of SLA Oracle nodes, establishes a layer of trust with verifiable proofs to tackle the DePIN verification problem." Users can find out more in the newly released Litepaper here. Recently, Impossible Cloud Network (ICN) played a key role in the inception of the DePIN Association alongside other founding members such as Peaq, IoTeX, and DePIN Hub. This association aims to expand and accelerate DePIN adoption through education, events, and strategic collaborations. ICN has also announced strategic partnerships with leading hardware manufacturers, such as Supermicro, and pioneering DePIN projects at the forefront of the industry, such as Witness Chain. During a keynote address at EthCC, ICN showcased its innovative solutions and strategic vision for the future of decentralized cloud. The event highlighted ICN's commitment to building a robust ecosystem through these significant partnerships. Christian Kaul, COO & Co-Founder of ICN, stated: "We’re excited to present our vision at EthCC and believe that our innovative approach will set new standards in the cloud services industry. The strength of our ecosystem is crucial as we work together to revolutionize the open cloud, ensuring a mutually beneficial platform for innovation." These developments signal strong support from the Web3 and DePIN communities, underscoring ICN's potential to make real-world connections and bring decentralized projects to the forefront of the industry landscape. ICN invites forward-thinking projects, developers, and investors to join their mission to revolutionize the cloud industry. For more details on ICN's ecosystem and strategic plans, the newly released Litepaper here provides an in-depth overview. X - https://x.com/ICN_Protocol Discord - https://discord.gg/icn-protocol Telegram - https://t.me/ICN_Protocol About ICN Impossible Cloud Network (ICN) is a decentralized cloud platform that connects enterprise-grade hardware with cloud service providers while leveraging SLA oracles for uncompromised performance or service quality. ICN already has service providers leveraging the platform with hundreds of business customers and real-world revenue, proving the performance and reliability of the platform. For media inquiries, please contact: media@icn.global Contact Web3 Marketing Executive Sara Teixeira Impossible Cloud GmbH steixeira@impossiblecloud.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **HAMBURG, Germany, July 23rd, 2024/Chainwire/--**Pioneering the Future of Decentralized Cloud with real-world demand, Utilizing SLA Oracles and enterprise-grade hardware from top providers, ICN is building a decentralized multi-service cloud platform. Impossible Cloud Network (ICN) , a decentralized cloud ecosystem with roots in Web2, has revealed its roadmap for an open, multi-service platform. Competing with giants like AWS, GCP, and Microsoft Azure, ICN connects hardware providers, service providers, and monitoring nodes through the ICN protocol. Impossible Cloud Network (ICN) Impossible Cloud Network (ICN) The protocol is designed to balance supply and demand in a blockchain-based marketplace, ensuring efficient scalability and minimal subsidies. ICN's architecture includes hardware for scalability, services for composable innovation, and monitoring for trust. ICN aims to support a variety of cloud services, including storage and GPU compute, offering comprehensive solutions for diverse business needs. With Impossible Cloud GmbH as the first service provider, the platform has already proven that it can facilitate revenue generation by delivering reliable services with industry-leading performance. Impossible Cloud has previously secured €17 million in funding from renowned Web3 and Web2 investors, including 1kx, HV Capital, Protocol Labs, very early Ventures, LBBW VC, and TS Ventures. Newly Released Litepaper Now Available The Litepaper of Impossible Cloud Network (ICN) has now released - covering an in-depth overview of ICN's vision and development plans. The document outlines the technical and strategic milestones guiding the platform's evolution, including key features, architectural design, and future prospects. A particular focus is on SLA Oracles, which are essential for monitoring and ensuring the performance and reliability of the network for business customers. Kai Wawrzinek, CEO & Founder of ICN, states: "Our architecture has a multi-layered approach: The Hardware Layer ensures unprecedented scalability through decentralized hardware contributions. The Service Layer facilitates composability, allowing open-source software to integrate into larger constructions. Lastly, the Monitoring Layer, composed of SLA Oracle nodes, establishes a layer of trust with verifiable proofs to tackle the DePIN verification problem." "Our architecture has a multi-layered approach: The Hardware Layer ensures unprecedented scalability through decentralized hardware contributions. The Service Layer facilitates composability, allowing open-source software to integrate into larger constructions. Lastly, the Monitoring Layer, composed of SLA Oracle nodes, establishes a layer of trust with verifiable proofs to tackle the DePIN verification problem." Users can find out more in the newly released Litepaper here . here here Recently, Impossible Cloud Network (ICN) played a key role in the inception of the DePIN Association alongside other founding members such as Peaq, IoTeX, and DePIN Hub. This association aims to expand and accelerate DePIN adoption through education, events, and strategic collaborations. ICN has also announced strategic partnerships with leading hardware manufacturers, such as Supermicro, and pioneering DePIN projects at the forefront of the industry, such as Witness Chain. During a keynote address at EthCC, ICN showcased its innovative solutions and strategic vision for the future of decentralized cloud. The event highlighted ICN's commitment to building a robust ecosystem through these significant partnerships. Christian Kaul, COO & Co-Founder of ICN, stated: "We’re excited to present our vision at EthCC and believe that our innovative approach will set new standards in the cloud services industry. The strength of our ecosystem is crucial as we work together to revolutionize the open cloud, ensuring a mutually beneficial platform for innovation." "We’re excited to present our vision at EthCC and believe that our innovative approach will set new standards in the cloud services industry. The strength of our ecosystem is crucial as we work together to revolutionize the open cloud, ensuring a mutually beneficial platform for innovation." These developments signal strong support from the Web3 and DePIN communities, underscoring ICN's potential to make real-world connections and bring decentralized projects to the forefront of the industry landscape. ICN invites forward-thinking projects, developers, and investors to join their mission to revolutionize the cloud industry. For more details on ICN's ecosystem and strategic plans, the newly released Litepaper here provides an in-depth overview. Litepaper here Litepaper here X - https://x.com/ICN_Protocol https://x.com/ICN_Protocol https://x.com/ICN_Protocol Discord - https://discord.gg/icn-protocol https://discord.gg/icn-protocol https://discord.gg/icn-protocol Telegram - https://t.me/ICN_Protocol https://t.me/ICN_Protocol https://t.me/ICN_Protocol About ICN Impossible Cloud Network (ICN) is a decentralized cloud platform that connects enterprise-grade hardware with cloud service providers while leveraging SLA oracles for uncompromised performance or service quality. ICN already has service providers leveraging the platform with hundreds of business customers and real-world revenue, proving the performance and reliability of the platform. Impossible Cloud Network (ICN) Impossible Cloud Network (ICN) For media inquiries, please contact: media@icn.global media@icn.global media@icn.global Contact Web3 Marketing Executive Sara Teixeira Impossible Cloud GmbH steixeira@impossiblecloud.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Impossible Cloud Network Reveals Strategic Roadmap For Decentralized Cloud Platform

অসম্ভব ক্লাউড নেটওয়ার্ক বিকেন্দ্রীভূত ক্লাউড প্ল্যাটফর্মের জন্য কৌশলগত রোডম্যাপ প্রকাশ করে

Impossible Cloud Network stellt strategischen Fahrplan für dezentrale Cloud-Plattform vor

Impossible Cloud Network revela una hoja de ruta estratégica para una plataforma de nube descentralizada

Impossible Cloud Network révèle une feuille de route stratégique pour une plate-forme cloud décentralisée

इम्पॉसिबल क्लाउड नेटवर्क ने विकेन्द्रीकृत क्लाउड प्लेटफॉर्म के लिए रणनीतिक रोडमैप का खुलासा किया

インポッシブル・クラウド・ネットワーク、分散型クラウド・プラットフォームの戦略ロードマップを発表

임파서블 클라우드 네트워크, 분산형 클라우드 플랫폼에 대한 전략적 로드맵 공개

Impossible Cloud Network revela roteiro estratégico para plataforma de nuvem descentralizada

Impossible Cloud Network раскрывает стратегическую дорожную карту для децентрализованной облачной платформы

İmkansız Bulut Ağı Merkezi Olmayan Bulut Platformu İçin Stratejik Yol Haritasını Ortaya Çıkarıyor

Mạng đám mây bất khả thi tiết lộ lộ trình chiến lược cho nền tảng đám mây phi tập trung

Impossible Cloud Network 公布去中心化云平台战略路线图

Flare Network has announced its integration with Stargate V2, a leading omnichain liquidity transport protocol. The collaboration, revealed on July 18, 2024, promises to connect Flare to over 25 blockchain networks, including Ethereum, Arbitrum, Optimism, and Base. This strategic partnership comes at a pivotal time for both organizations. Flare, known for its focus on data-intensive blockchain applications, aims to deepen its liquidity and expand its Total Value Locked (TVL). Stargate, on the other hand, has been dominating the web3 interoperability space, handling up to 50% of daily cross-chain transaction volume during peak periods. Hugo Philion, Flare's Co-Founder and CEO, expressed enthusiasm about the integration. "FLRfiSummer is accelerating," Philion stated, referring to Flare's ongoing initiatives. He highlighted that the partnership would provide holders of USDC and USDT across multiple networks with "seamless access to industry-leading yields" through Flare's new DeFi emissions program. The integration leverages Stargate V2's Hydra feature, allowing for the smooth transfer of USDC, USDT, and ETH to Flare. This mechanism locks the original assets in native pools on source chains while minting equivalent Hydra assets on Flare, ensuring unified liquidity across all connected chains. Angus Lamps, Foundation Lead of Stargate, emphasized the potential impact of this collaboration. "As one of the most reliable and popular bridge protocols, Stargate V2 can help to onboard a significant user base of advanced DeFi users to Flare through unified liquidity," Lamps explained. The timing of this integration is particularly noteworthy, coinciding with the launch of a major DeFi incentives program on Flare. This program aims to boost stablecoin liquidity and lay the groundwork for Flare's upcoming FAssets system, which promises to bring DeFi capabilities to non-smart contract chains. For developers and users alike, this integration opens up new possibilities. It not only expands access to cross-chain liquidity but also provides a robust platform for building omnichain applications. Flare's unique selling point - its enshrined data protocols - combined with Stargate's liquidity solutions, creates a powerful toolkit for blockchain innovators. However, the road ahead is not without challenges. The blockchain space is notoriously volatile, and the success of this integration will depend on user adoption and market conditions. Additionally, regulatory scrutiny of cross-chain protocols has been increasing, which could potentially impact future operations. As the crypto industry continues to evolve, partnerships like this between Flare and Stargate highlight the ongoing trend towards greater interoperability and liquidity in the blockchain ecosystem. Whether this collaboration will lead to the "dramatic deepening of stablecoin liquidity" that Philion envisions remains to be seen, but it certainly marks a significant step towards a more interconnected blockchain future. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Flare Network has announced its integration with Stargate V2, a leading omnichain liquidity transport protocol. The collaboration, revealed on July 18, 2024, promises to connect Flare to over 25 blockchain networks, including Ethereum, Arbitrum, Optimism, and Base. This strategic partnership comes at a pivotal time for both organizations. Flare, known for its focus on data-intensive blockchain applications, aims to deepen its liquidity and expand its Total Value Locked (TVL). Stargate, on the other hand, has been dominating the web3 interoperability space, handling up to 50% of daily cross-chain transaction volume during peak periods. Flare Network Hugo Philion, Flare's Co-Founder and CEO, expressed enthusiasm about the integration. "FLRfiSummer is accelerating," Philion stated, referring to Flare's ongoing initiatives. He highlighted that the partnership would provide holders of USDC and USDT across multiple networks with "seamless access to industry-leading yields" through Flare's new DeFi emissions program. The integration leverages Stargate V2's Hydra feature, allowing for the smooth transfer of USDC, USDT, and ETH to Flare. This mechanism locks the original assets in native pools on source chains while minting equivalent Hydra assets on Flare, ensuring unified liquidity across all connected chains. Angus Lamps, Foundation Lead of Stargate , emphasized the potential impact of this collaboration. "As one of the most reliable and popular bridge protocols, Stargate V2 can help to onboard a significant user base of advanced DeFi users to Flare through unified liquidity," Lamps explained. Stargate The timing of this integration is particularly noteworthy, coinciding with the launch of a major DeFi incentives program on Flare. This program aims to boost stablecoin liquidity and lay the groundwork for Flare's upcoming FAssets system, which promises to bring DeFi capabilities to non-smart contract chains. For developers and users alike, this integration opens up new possibilities. It not only expands access to cross-chain liquidity but also provides a robust platform for building omnichain applications. Flare's unique selling point - its enshrined data protocols - combined with Stargate's liquidity solutions, creates a powerful toolkit for blockchain innovators. However, the road ahead is not without challenges. The blockchain space is notoriously volatile, and the success of this integration will depend on user adoption and market conditions. Additionally, regulatory scrutiny of cross-chain protocols has been increasing, which could potentially impact future operations. As the crypto industry continues to evolve, partnerships like this between Flare and Stargate highlight the ongoing trend towards greater interoperability and liquidity in the blockchain ecosystem. Whether this collaboration will lead to the "dramatic deepening of stablecoin liquidity" that Philion envisions remains to be seen, but it certainly marks a significant step towards a more interconnected blockchain future. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. business blogging program business blogging program

Flare Network Integrates with Stargate V2 to Enhance Cross-Chain Liquidity

ফ্লেয়ার নেটওয়ার্ক ক্রস-চেইন লিকুইডিটি বাড়ানোর জন্য স্টারগেট V2 এর সাথে একীভূত করে

Flare Network integriert Stargate V2, um die kettenübergreifende Liquidität zu verbessern

Flare Network se integra con Stargate V2 para mejorar la liquidez entre cadenas

Flare Network s'intègre à Stargate V2 pour améliorer la liquidité inter-chaînes

फ़्लेयर नेटवर्क ने क्रॉस-चेन लिक्विडिटी बढ़ाने के लिए स्टारगेट V2 के साथ एकीकरण किया

Flare Network が Stargate V2 と統合し、クロスチェーンの流動性を強化

Flare Network는 Stargate V2와 통합되어 체인 간 유동성을 향상시킵니다.

Flare Network se integra ao Stargate V2 para aumentar a liquidez entre cadeias

Flare Network интегрируется со Stargate V2 для повышения межцепочной ликвидности

Flare Network, Zincirler Arası Likiditeyi Artırmak İçin Stargate V2 ile Bütünleşiyor

Mạng Flare tích hợp với Stargate V2 để tăng cường thanh khoản chuỗi chéo

Flare Network 与 Stargate V2 集成以增强跨链流动性

The Bitcoin blockchain is notorious for its slow transaction processing times, and it was this reality that led to the development of the first Layer-2 networks. Realizing that Bitcoin could never hope to reach the scale required to supplant fiat currency, its developer community hit upon the concept of offloading transactions to other networks, which can. But Bitcoin's Layer-2s can do much more than just speed up transaction processing times. They also enable decentralized finance, or DeFi, on the Bitcoin network, and they're paving the way for the creation of an ecosystem of innovative dApps that significantly enhance Bitcoin's utility. Growing Fast A recent report from the cryptocurrency exchange Bybit shows that Bitcoin's ecosystem has grown to encompass 74 Layer-2 networks, including sidechains, rollups and state channels, with the majority of them launching in the last year. And they're handling an increasing amount of Bitcoin's network traffic. With Bitcoin Layer-2s, transactions can be settled much faster and at much lower costs than is possible on the traditional Bitcoin network. They're gaining in popularity as a result. Rootstock, one of the oldest Bitcoin Layer-2s, has processed more than 13 million transactions in its lifetime, with 670,000 of them occurring in the last three months. Rootstock's appeal is not just its faster settlement times. The sidechain also acts as a base layer for Bitcoin-native decentralized applications. During that three-month period, more than 25 dApps have launched on Rootstock, giving users many different ways to put their Bitcoin to work so they can earn a passive income. In June, the popular decentralized exchange platform SushiSwap made its debut on Rootstock, enabling its community of more than 438,000 active monthly users to provide liquidity on the network that leverages the unparalleled security of Bitcoin's blockchain. More importantly, SushiSwap's users can now leverage BTC itself in DeFi applications. Solving Challenges Other prominent Bitcoin Layer-2s are also striving to boost liquidity in the Bitcoin ecosystem. For instance, Merlin Chain's Merlin DEX platform has seen its Bitmap and Rune token liquidity grow to more than $10 million. However, the rise of so many Bitcoin Layer-2s has created challenges around liquidity fragmentation, where digital assets and trading volumes are spread so thinly across multiple networks that they lead to higher trading costs, slippage, slower transaction processing times and reduced opportunities. Fortunately, more innovative Layer-2s are looking to solve this challenge. exSat is building what it likes to call a "docking layer" that aims to streamline interoperability between Bitcoin's L2 ecosystem, so they can interact seamlessly. It acts as a kind of bridge between Bitcoin and every other L2, so users can quickly and easily transfer assets across them. To do this, exSat has built a decentralized state data indexing platform that increases data availability on the Bitcoin network. It leverages RAM resources on the EOS blockchain as the foundation of this data availability layer, and utilizes a hybrid consensus -- Bitcoin's proof-of-work and its own, novel proof-of-stake -- to synchronize block data across Bitcoin and its ecosystem of Layer-2 networks. In this way, it enables Bitcoin itself to scale while uniting liquidity across every Layer-2. It's also EVM compatible, which means it can tap liquidity from Ethereum's vast DeFi ecosystem. Accelerating Innovation Fixing liquidity fragmentation will remove one of the key impediments to growth within Bitcoin's DeFi community, which continues to innovate at breakneck speed. This month, the interoperability protocol ZKM unveiled the newest Bitcoin Layer-2 on the block, called GOAT Network. Its major innovation is a decentralized sequencer model, which aims to counter growing fears of centralization within the L2 landscape. ZKM points out that the majority of Bitcoin L2s are controlled by their foundations. GOAT Network will instead be controlled by its community of sequence node operators, who are incentivized to secure its network with sustainable yield on their BTC collateral. It sees itself as the first truly decentralized Bitcoin Layer-2, and aims to foster the growth of a "dynamic ecosystem" of Bitcoin-native dApps. "GOAT Network's launch of a Bitcoin L2 is a powerful first step in ZKM's quest to unite the fragmented Web3 universe," said GOAT Network's Core Contributor Kevin Liu. Meanwhile, the crypto startup Hamilton has just announced the launch of the first tokenized U.S. Treasury bonds on Bitcoin Layer-2s like Stacks, Core and Build on Bitcoin. Hamilton CEO Mohamed Elkasstawi said that its tokenized Treasury bills will provide traditional financial institutions with a more efficient way to manage their treasuries, avoiding the inefficiencies of traditional finance. It represents one of the first instances of tokenized "real-world assets" landing on Bitcoin, and underscores the incredible pace of innovation that's breathing new life into the world's most valuable crypto asset. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. The Bitcoin blockchain is notorious for its slow transaction processing times, and it was this reality that led to the development of the first Layer-2 networks. Realizing that Bitcoin could never hope to reach the scale required to supplant fiat currency, its developer community hit upon the concept of offloading transactions to other networks, which can. But Bitcoin's Layer-2s can do much more than just speed up transaction processing times. They also enable decentralized finance, or DeFi, on the Bitcoin network, and they're paving the way for the creation of an ecosystem of innovative dApps that significantly enhance Bitcoin's utility. Growing Fast A recent report from the cryptocurrency exchange Bybit shows that Bitcoin's ecosystem has grown to encompass 74 Layer-2 networks, including sidechains, rollups and state channels, with the majority of them launching in the last year. And they're handling an increasing amount of Bitcoin's network traffic. report report With Bitcoin Layer-2s, transactions can be settled much faster and at much lower costs than is possible on the traditional Bitcoin network. They're gaining in popularity as a result. Rootstock , one of the oldest Bitcoin Layer-2s, has processed more than 13 million transactions in its lifetime, with 670,000 of them occurring in the last three months. Rootstock Rootstock processed processed Rootstock's appeal is not just its faster settlement times. The sidechain also acts as a base layer for Bitcoin-native decentralized applications. During that three-month period, more than 25 dApps have launched on Rootstock, giving users many different ways to put their Bitcoin to work so they can earn a passive income. In June, the popular decentralized exchange platform SushiSwap made its debut on Rootstock, enabling its community of more than 438,000 active monthly users to provide liquidity on the network that leverages the unparalleled security of Bitcoin's blockchain. More importantly, SushiSwap's users can now leverage BTC itself in DeFi applications. made its debut made its debut 438,000 active monthly users 438,000 active monthly users Solving Challenges Other prominent Bitcoin Layer-2s are also striving to boost liquidity in the Bitcoin ecosystem. For instance, Merlin Chain's Merlin DEX platform has seen its Bitmap and Rune token liquidity grow to more than $10 million. Merlin Chain's Merlin Chain's However, the rise of so many Bitcoin Layer-2s has created challenges around liquidity fragmentation, where digital assets and trading volumes are spread so thinly across multiple networks that they lead to higher trading costs, slippage, slower transaction processing times and reduced opportunities. Fortunately, more innovative Layer-2s are looking to solve this challenge. exSat is building what it likes to call a " docking layer " that aims to streamline interoperability between Bitcoin's L2 ecosystem, so they can interact seamlessly. It acts as a kind of bridge between Bitcoin and every other L2, so users can quickly and easily transfer assets across them. exSat exSat docking layer docking layer To do this, exSat has built a decentralized state data indexing platform that increases data availability on the Bitcoin network. It leverages RAM resources on the EOS blockchain as the foundation of this data availability layer, and utilizes a hybrid consensus -- Bitcoin's proof-of-work and its own, novel proof-of-stake -- to synchronize block data across Bitcoin and its ecosystem of Layer-2 networks. In this way, it enables Bitcoin itself to scale while uniting liquidity across every Layer-2. It's also EVM compatible, which means it can tap liquidity from Ethereum's vast DeFi ecosystem. built built Accelerating Innovation Fixing liquidity fragmentation will remove one of the key impediments to growth within Bitcoin's DeFi community, which continues to innovate at breakneck speed. This month, the interoperability protocol ZKM unveiled the newest Bitcoin Layer-2 on the block, called GOAT Network . Its major innovation is a decentralized sequencer model, which aims to counter growing fears of centralization within the L2 landscape. ZKM points out that the majority of Bitcoin L2s are controlled by their foundations. GOAT Network will instead be controlled by its community of sequence node operators, who are incentivized to secure its network with sustainable yield on their BTC collateral. It sees itself as the first truly decentralized Bitcoin Layer-2, and aims to foster the growth of a "dynamic ecosystem" of Bitcoin-native dApps. ZKM ZKM unveiled unveiled GOAT Network GOAT Network "GOAT Network's launch of a Bitcoin L2 is a powerful first step in ZKM's quest to unite the fragmented Web3 universe," said GOAT Network's Core Contributor Kevin Liu. Meanwhile, the crypto startup Hamilton has just announced the launch of the first tokenized U.S. Treasury bonds on Bitcoin Layer-2s like Stacks, Core and Build on Bitcoin. Hamilton CEO Mohamed Elkasstawi said that its tokenized Treasury bills will provide traditional financial institutions with a more efficient way to manage their treasuries, avoiding the inefficiencies of traditional finance. Hamilton Hamilton announced announced It represents one of the first instances of tokenized "real-world assets" landing on Bitcoin, and underscores the incredible pace of innovation that's breathing new life into the world's most valuable crypto asset. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

How Bitcoin's Layer-2 Networks Are Transforming The World's Oldest Digital Asset

বিটকয়েনের লেয়ার-2 নেটওয়ার্কগুলি কীভাবে বিশ্বের প্রাচীনতম ডিজিটাল সম্পদকে রূপান্তরিত করছে

Wie Bitcoins Layer-2-Netzwerke das älteste digitale Asset der Welt verändern

Cómo las redes de capa 2 de Bitcoin están transformando el activo digital más antiguo del mundo

Comment les réseaux de couche 2 de Bitcoin transforment l'actif numérique le plus ancien au monde

बिटकॉइन के लेयर-2 नेटवर्क कैसे दुनिया की सबसे पुरानी डिजिटल संपत्ति को बदल रहे हैं

ビットコインのレイヤー2ネットワークが世界最古のデジタル資産をどう変えるのか

비트코인의 레이어-2 네트워크가 세계에서 가장 오래된 디지털 자산을 어떻게 변화시키고 있습니까?

Como as redes de camada 2 do Bitcoin estão transformando o ativo digital mais antigo do mundo

Как сети второго уровня Биткойна трансформируют старейший в мире цифровой актив

Bitcoin'in 2. Katman Ağları Dünyanın En Eski Dijital Varlığını Nasıl Dönüştürüyor?

Mạng lớp 2 của Bitcoin đang biến đổi tài sản kỹ thuật số lâu đời nhất thế giới như thế nào

比特币的第二层网络如何改变世界上最古老的数字资产

Hi All! Here is my weekly letter discussing mental models, performance, business, and entrepreneurship. If you love this content (please share it), but also… Connect with me on YouTube/Twitter, or subscribe to my daily business newsletter here. What’s in today’s newsletter? Networking is a skill. But it's not one they teach you in school. They don't give you lessons on how to build genuine connections, how to give before you ask, or how to curate a personal board of directors. So, here's the playbook I developed to network better: (1) Become a Talent Scout, (2) Curate Your Personal Board of Directors, and (3) Become a "Reverse Mentor." Your entire career can change the moment you stop seeing networking as a chore and start seeing it as a strategic advantage. Your Network, Your Net Worth Ever heard the saying, "Don't call me unless you need something?" That's the exact opposite of how to build a powerful network. Here's a thought: The strongest relationships are forged in the fires of mutual support, not the desperation of last-minute asks. Let me share a story. Back when I was first starting out, hustling to get my podcast off the ground, I had this mentor, Sarah. She was a powerhouse in the industry, someone I deeply admired. But here's the thing: I didn't just reach out to Sarah when I needed funding advice or a warm intro. I grabbed coffee with her when I didn’t need anything at all. We’d catch up, I'd share my small wins and setbacks, just to get her perspective. Over time, a real friendship blossomed. It turns out, I didn’t need anything at all for about 3 years. And guess what? When the time came that I did need something – a crucial connection, a sounding board for a tough decision – Sarah was there in a heartbeat. Not out of obligation, but because we had built a genuine bond. Think about it. When you reach out to someone only when you're in need, it's like waving a giant flag that says, "I'm using you!" It feels transactional, desperate even. Nobody likes to feel used. But when you reach out genuinely, to offer support, share insights, or just say hello, you're building something far more valuable: trust. You're signaling that you value the relationship for its own sake, not just for what you can get out of it. Trust is worth its weight in gold. It's the currency of a powerful network; one that will have your back when you need it most. Don't be that person who only shows up when they want something. Be the person who invests in relationships before they need them. The Networking Blindside: Think about it. Have you ever been caught off guard by a professional setback? Maybe a dream job fell through, a project got derailed, or a client suddenly went dark. In those moments, it's easy to feel isolated and overwhelmed. That’s when you NEED people. That’s also when you CAN’T reach out to people. It’s happened to the best of us. We wish we had a network of people we could turn to for support, advice, or even a new lead. That's the power of strategic networking. You have to build that network of people who can support you before you need it. So, how do you do that? Here’s the system I developed to network better - build relationships before you need them, so you're never starting from scratch when the unexpected happens. The Networking System: 3 Strategies To Built True Ties 1. Become a Talent Scout: The saying goes, "Bet on the jockey, not the horse." The same goes for your network. Don't just collect business cards – invest in people. Scout out the rising stars; the ones with that fire in their eyes. They're the future CEOs, the disruptors, the game-changers. Spot the talent, the drive, the vision. Be their champion. Mentor them. Share your hard-won wisdom. Open doors they didn't even know existed. As they rise, so do you. Building a network isn't about quantity, it's about quality. Bet on the jockey, and you'll win the race. 2. Become a "Reverse Mentor": You just scouted new talent; now, it’s time to tap into wisdom and experience. Mentorship isn't a one-way street; it's a two-way exchange of knowledge and perspective. Flip the script and become a "reverse mentor." Don't just seek wisdom; offer yours in return (before you need it). Your fresh perspective on emerging tech, digital trends, or innovative solutions is GOLD to those in power. Pinpoint Your Power: What unique skills or insights do you have that a senior leader could benefit from?
Target the Right Players: Look for open-minded leaders who value diverse perspectives.
Make Your Pitch: Show them how your knowledge can solve their problems or drive their goals.
Start the Conversation: Don't be afraid to reach out and offer your expertise. Become a trusted advisor, build cross-generational bridges, and accelerate your own career. Remember: The student can become the teacher. 3. Build Your "Personal Board of Directors": Jim Rohn famously said, "You are the average of the five people you spend the most time with." Elevate your average. Hand-pick your board of directors. Not just mentors or colleagues, but your trusted advisors. Seek diversity – experience, skills, perspectives. Surround yourself with those who've "been there, done that" and those who challenge you to think differently. Invest in these relationships. Be present. Be supportive. Be the kind of friend you wish you had. When failure strikes, this is your A-team. They'll offer guidance, diverse perspectives, and unwavering support. Your board of directors isn't just a network; it's your lifeline. Your Network, Your Net Worth: Stop chasing connections; start cultivating relationships. Ditch the transactional mindset and embrace genuine connection. Invest in people, not just business cards. Remember, the strongest networks aren't built on desperation; they're built on mutual support, trust, and shared ambition. This isn't just about climbing the ladder faster; it's about building a community that will catch you if you fall, push you when you hesitate, and celebrate with you when you win. Your network isn't just a safety net; it's your launchpad. This is how you network, properly. Scott Subscribe to get this newsletter in your inbox, every week. My Links Success Story (Top 10 Business Podcast)
Newsletter (321k Subs)
10 Minute MBA (Daily Podcast)
10 Minute MBA (Daily Newsletter)
Social Media Hi All! Here is my weekly letter discussing mental models, performance, business, and entrepreneurship. If you love this content (please share it), but also… Connect with me on YouTube / Twitter, or subscribe to my daily business newsletter here. YouTube YouTube Twitter , Twitter daily business newsletter here. daily business newsletter here. What’s in today’s newsletter? What’s in today’s newsletter? Networking is a skill. But it's not one they teach you in school. They don't give you lessons on how to build genuine connections, how to give before you ask, or how to curate a personal board of directors. Networking is a skill. But it's not one they teach you in school. They don't give you lessons on how to build genuine connections, how to give before you ask, or how to curate a personal board of directors. So, here's the playbook I developed to network better: (1) Become a Talent Scout, (2) Curate Your Personal Board of Directors, and (3) Become a "Reverse Mentor." So, here's the playbook I developed to network better: (1) Become a Talent Scout, (2) Curate Your Personal Board of Directors, and (3) Become a "Reverse Mentor." Your entire career can change the moment you stop seeing networking as a chore and start seeing it as a strategic advantage. Your entire career can change the moment you stop seeing networking as a chore and start seeing it as a strategic advantage. Your Network, Your Net Worth Ever heard the saying, "Don't call me unless you need something?" That's the exact opposite of how to build a powerful network. exact opposite Here's a thought: The strongest relationships are forged in the fires of mutual support, not the desperation of last-minute asks. The strongest relationships are forged in the fires of mutual support, not the desperation of last-minute asks. Let me share a story. Back when I was first starting out, hustling to get my podcast off the ground, I had this mentor, Sarah. She was a powerhouse in the industry, someone I deeply admired. But here's the thing: I didn't just reach out to Sarah when I needed funding advice or a warm intro. I grabbed coffee with her when I didn’t need anything at all. We’d catch up, I'd share my small wins and setbacks, just to get her perspective. Over time, a real friendship blossomed. It turns out, I didn’t need anything at all for about 3 years. And guess what? When the time came that I did need something – a crucial connection, a sounding board for a tough decision – Sarah was there in a heartbeat. did Not out of obligation, but because we had built a genuine bond. Think about it. When you reach out to someone only when you're in need, it's like waving a giant flag that says, "I'm using you!" It feels transactional, desperate even. Nobody likes to feel used. But when you reach out genuinely, to offer support, share insights, or just say hello, you're building something far more valuable: trust. You're signaling that you value the relationship for its own sake, not just for what you can get out of it. Trust is worth its weight in gold. It's the currency of a powerful network; one that will have your back when you need it most. Don't be that person who only shows up when they want something. Be the person who invests in relationships before they need them. before The Networking Blindside: The Networking Blindside: Think about it. Have you ever been caught off guard by a professional setback? Maybe a dream job fell through, a project got derailed, or a client suddenly went dark. In those moments, it's easy to feel isolated and overwhelmed. That’s when you NEED people. That’s also when you CAN’T reach out to people. It’s happened to the best of us. We wish we had a network of people we could turn to for support, advice, or even a new lead. That's the power of strategic networking. You have to build that network of people who can support you before you need it. So, how do you do that? Here’s the system I developed to network better - build relationships before you need them, so you're never starting from scratch when the unexpected happens. before The Networking System: 3 Strategies To Built True Ties 1. Become a Talent Scout: 1. Become a Talent Scout: The saying goes, "Bet on the jockey, not the horse." The same goes for your network. Don't just collect business cards – invest in people. Scout out the rising stars; the ones with that fire in their eyes. They're the future CEOs, the disruptors, the game-changers. Spot the talent, the drive, the vision. Be their champion. Mentor them. Share your hard-won wisdom. Open doors they didn't even know existed. As they rise, so do you. Building a network isn't about quantity, it's about quality. Bet on the jockey, and you'll win the race. 2. Become a "Reverse Mentor": 2. Become a "Reverse Mentor": You just scouted new talent; now, it’s time to tap into wisdom and experience. Mentorship isn't a one-way street; it's a two-way exchange of knowledge and perspective. Flip the script and become a "reverse mentor." Don't just seek wisdom; offer yours in return (before you need it). Your fresh perspective on emerging tech, digital trends, or innovative solutions is GOLD to those in power. Pinpoint Your Power: What unique skills or insights do you have that a senior leader could benefit from? Target the Right Players: Look for open-minded leaders who value diverse perspectives. Make Your Pitch: Show them how your knowledge can solve their problems or drive their goals. Start the Conversation: Don't be afraid to reach out and offer your expertise. Pinpoint Your Power: What unique skills or insights do you have that a senior leader could benefit from? Pinpoint Your Power: Target the Right Players: Look for open-minded leaders who value diverse perspectives. Target the Right Players: Make Your Pitch: Show them how your knowledge can solve their problems or drive their goals. Make Your Pitch: Start the Conversation: Don't be afraid to reach out and offer your expertise. Start the Conversation: Become a trusted advisor, build cross-generational bridges, and accelerate your own career. Remember: The student can become the teacher. 3. Build Your "Personal Board of Directors": 3. Build Your "Personal Board of Directors": Jim Rohn famously said, "You are the average of the five people you spend the most time with." "You are the average of the five people you spend the most time with." Elevate your average. Hand-pick your board of directors. Not just mentors or colleagues, but your trusted advisors. Seek diversity – experience, skills, perspectives. Surround yourself with those who've "been there, done that" and those who challenge you to think differently. Invest in these relationships. Be present. Be supportive. Be the kind of friend you wish you had. When failure strikes, this is your A-team. They'll offer guidance, diverse perspectives, and unwavering support. Your board of directors isn't just a network; it's your lifeline. Your Network, Your Net Worth: Stop chasing connections; start cultivating relationships. Ditch the transactional mindset and embrace genuine connection. Invest in people, not just business cards. Remember, the strongest networks aren't built on desperation; they're built on mutual support, trust, and shared ambition. This isn't just about climbing the ladder faster; it's about building a community that will catch you if you fall, push you when you hesitate, and celebrate with you when you win. Your network isn't just a safety net; it's your launchpad. This is how you network, properly. Scott Subscribe to get this newsletter in your inbox, every week. Subscribe to get this newsletter in your inbox, every week. Subscribe to get this newsletter in your inbox, every week. My Links My Links Success Story (Top 10 Business Podcast) Newsletter (321k Subs) 10 Minute MBA (Daily Podcast) 10 Minute MBA (Daily Newsletter) Social Media Success Story (Top 10 Business Podcast) Success Story (Top 10 Business Podcast) Success Story (Top 10 Business Podcast) Newsletter (321k Subs) Newsletter (321k Subs) Newsletter (321k Subs) 10 Minute MBA (Daily Podcast) 10 Minute MBA (Daily Podcast) 10 Minute MBA (Daily Podcast) 10 Minute MBA (Daily Newsletter) 10 Minute MBA (Daily Newsletter) 10 Minute MBA (Daily Newsletter) Social Media Social Media Social Media

Your Network, Your Net Worth: 3 Tips to Network Better

How CKB and RGB++ are Quietly Redefining Crypto Networks

কীভাবে CKB এবং RGB++ শান্তভাবে ক্রিপ্টো নেটওয়ার্কগুলিকে পুনরায় সংজ্ঞায়িত করছে৷

Wie CKB und RGB++ still und leise Krypto-Netzwerke neu definieren

Cómo CKB y RGB++ están redefiniendo silenciosamente las redes criptográficas

Comment CKB et RGB++ redéfinissent silencieusement les réseaux cryptographiques

कैसे CKB और RGB++ चुपचाप क्रिप्टो नेटवर्क को पुनर्परिभाषित कर रहे हैं

CKB と RGB++ が暗号ネットワークを静かに再定義する方法

CKB와 RGB++가 암호화폐 네트워크를 조용히 재정의하는 방법

Como CKB e RGB++ estão redefinindo silenciosamente as redes criptográficas

Как CKB и RGB++ незаметно переосмысливают криптосети

CKB ve RGB++ Kripto Ağlarını Sessizce Nasıl Yeniden Tanımlıyor?

CKB và RGB++ đang âm thầm định nghĩa lại mạng lưới tiền điện tử như thế nào

CKB 和 RGB++ 如何悄然重新定义加密网络

GRAND CAYMAN, Cayman Islands, July 9th, 2024/Chainwire/--In a step forward for the derivatives ecosystem on Arbitrum, two prominent DeFi projects, GMX and Gains Network, have unveiled bids to integrate their platforms into Kwenta’s upcoming perpetuals marketplace. Kwenta, the leading perpetual futures exchange on Optimism, expanded its reach earlier this year by launching the Base network, reflecting a larger plan to connect derivatives liquidity across multiple chains. This announcement follows the recent approval of a grant from the Arbitrum DAO aimed at supporting Kwenta's initial expansion to the Arbitrum network. Product Offerings from GMX and Gains NeNetwork GMX and Gains Network have submitted their proposals to integrate their liquidity into Kwenta's platform. These integrations aim to enhance the trading experience for Kwenta users by providing access to additional markets and liquidity, while taking advantage of Kwenta’s UX-focused roadmap, which includes allowing traders to log in with traditional web2 credentials and sponsoring gasless transactions. GMX v2, Arbitrum’s flagship perpetual futures AMM (Automated Market Maker), built on the initial success of their v1 product by being the first to integrate Chainlink Data Streams, a low latency product from the leading oracle provider aimed at high-performance applications. The lower fees and wider selection of markets available on GMX v2 allowed the offering to quickly grow in popularity with onchain traders. Gains Network, known for its gTrade platform, offers a wide variety of trading pairs, including cryptocurrencies, forex, and commodities, supported by their decentralized oracle network. Gains Network’s innovative approach to perpetual futures provides traders access to up to 150x leverage on a growing list of nearly 200 markets. Strengthening the Arbitrum Ecosystem The integration of GMX and Gains Network into Kwenta’s perpetuals marketplace is expected to drive growth in the onchain perpetuals space by allowing users to easily access advanced DeFi products from Kwenta’s easy-to-use UX layer. While retail-focused applications have made huge steps forward in allowing users to quickly access the best prices for token swaps and bridging, onchain leverage has remained a complex product for more sophisticated DeFi enthusiasts. This strategic expansion brings Arbitrum’s most popular derivatives trading venues under a single platform, providing a simple and familiar experience for traders new to onchain products. Kwenta’s roadmap promises to build on these quality of life features, allowing users to interact with multiple protocols in a single application. Looking Ahead Kwenta is currently inviting community feedback on these proposals as it moves towards finalizing its perpetuals marketplace. The potential integrations with GMX and Gains Network align with Kwenta’s mission to provide a superior decentralized trading experience. With these developments, Kwenta is aims to become a leading venue for DeFi derivatives trading on Arbitrum. About Kwenta Kwenta is an onchain derivatives marketplace on Optimism, Base, and Arbitrum. The platform offers easy-to-use tools to access deep liquidity and low fees onchain, while users retain full custody of their funds. With over $50 billion in trading volume through its community-governed platform, Kwenta is committed to developing tools that bring DeFi to everyone.For more details, users can follow Kwenta's governance discussion channels on Discord. Contact MarketingDAO PM Burt Rock Kwenta info@kwenta.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here GRAND CAYMAN, Cayman Islands, July 9th, 2024/Chainwire/--In a step forward for the derivatives ecosystem on Arbitrum, two prominent DeFi projects, GMX and Gains Network, have unveiled bids to integrate their platforms into Kwenta’s upcoming perpetuals marketplace. Kwenta, the leading perpetual futures exchange on Optimism, expanded its reach earlier this year by launching the Base network, reflecting a larger plan to connect derivatives liquidity across multiple chains. This announcement follows the recent approval of a grant from the Arbitrum DAO aimed at supporting Kwenta's initial expansion to the Arbitrum network. Product Offerings from GMX and Gains NeNetwork GMX and Gains Network have submitted their proposals to integrate their liquidity into Kwenta's platform. These integrations aim to enhance the trading experience for Kwenta users by providing access to additional markets and liquidity, while taking advantage of Kwenta’s UX-focused roadmap, which includes allowing traders to log in with traditional web2 credentials and sponsoring gasless transactions. GMX v2, Arbitrum’s flagship perpetual futures AMM (Automated Market Maker), built on the initial success of their v1 product by being the first to integrate Chainlink Data Streams, a low latency product from the leading oracle provider aimed at high-performance applications. The lower fees and wider selection of markets available on GMX v2 allowed the offering to quickly grow in popularity with onchain traders. Gains Network, known for its gTrade platform, offers a wide variety of trading pairs, including cryptocurrencies, forex, and commodities, supported by their decentralized oracle network. Gains Network’s innovative approach to perpetual futures provides traders access to up to 150x leverage on a growing list of nearly 200 markets. Strengthening the Arbitrum Ecosystem The integration of GMX and Gains Network into Kwenta’s perpetuals marketplace is expected to drive growth in the onchain perpetuals space by allowing users to easily access advanced DeFi products from Kwenta’s easy-to-use UX layer. While retail-focused applications have made huge steps forward in allowing users to quickly access the best prices for token swaps and bridging, onchain leverage has remained a complex product for more sophisticated DeFi enthusiasts. This strategic expansion brings Arbitrum’s most popular derivatives trading venues under a single platform, providing a simple and familiar experience for traders new to onchain products. Kwenta’s roadmap promises to build on these quality of life features, allowing users to interact with multiple protocols in a single application. Looking Ahead Kwenta is currently inviting community feedback on these proposals as it moves towards finalizing its perpetuals marketplace. The potential integrations with GMX and Gains Network align with Kwenta’s mission to provide a superior decentralized trading experience. With these developments, Kwenta is aims to become a leading venue for DeFi derivatives trading on Arbitrum. About Kwenta Kwenta is an onchain derivatives marketplace on Optimism, Base, and Arbitrum. The platform offers easy-to-use tools to access deep liquidity and low fees onchain, while users retain full custody of their funds. With over $50 billion in trading volume through its community-governed platform, Kwenta is committed to developing tools that bring DeFi to everyone.For more details, users can follow Kwenta's governance discussion channels on Discord. Contact MarketingDAO PM Burt Rock Kwenta info@kwenta.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Kwenta Receives Proposals To Integrate GMX And Gains Network Into Perpetuals Marketplace

Kwenta GMX একীভূত করার প্রস্তাব পেয়েছে এবং চিরস্থায়ী মার্কেটপ্লেসে নেটওয়ার্ক লাভ করেছে

Kwenta erhält Angebote zur Integration von GMX und gewinnt Netzwerk in Perpetuals Marketplace

Kwenta recibe propuestas para integrar GMX y gana red en el mercado perpetuo

Kwenta reçoit des propositions pour intégrer GMX et gagne du réseau dans le marché perpétuel

क्वेंटा को GMX को एकीकृत करने और पर्पेचुअल्स मार्केटप्लेस में नेटवर्क हासिल करने के प्रस्ताव प्राप्त हुए

クウェンタはGMXを統合する提案を受け、永久債マーケットプレイスにネットワークを獲得

Kwenta는 GMX를 통합하고 Perpetuals Marketplace에 네트워크를 확보하라는 제안을 받았습니다.

Kwenta recebe propostas para integrar GMX e ganha rede no mercado perpétuo

Kwenta получает предложения по интеграции сети GMX и Gains в рынок бессрочных контрактов

Kwenta, GMX'i Entegre Etmek ve Ağı Sürekli Piyasaya Kazandırmak İçin Teklifler Aldı

Kwenta nhận được đề xuất tích hợp GMX và tăng mạng lưới vào thị trường Perpetuals

Kwenta 收到整合 GMX 和获得网络进入永久资产市场的提案

Rootstock — the First Sidechain in the Bitcoin Network

রুটস্টক — বিটকয়েন নেটওয়ার্কের প্রথম সাইডচেইন

Rootstock – die erste Sidechain im Bitcoin-Netzwerk

Rootstock: la primera cadena lateral en la red Bitcoin

Rootstock – la première sidechain du réseau Bitcoin

रूटस्टॉक - बिटकॉइन नेटवर्क में पहला साइडचेन

Rootstock — ビットコインネットワークの最初のサイドチェーン

Rootstock — 비트코인 네트워크의 첫 번째 사이드체인

Rootstock — o primeiro Sidechain na rede Bitcoin

Rootstock — первый сайдчейн в сети Биткойн

Anaç — Bitcoin Ağındaki İlk Yan Zincir

Rootstock — Sidechain đầu tiên trong Mạng Bitcoin

Rootstock——比特币网络中的第一条侧链

The EOS Network launched a new staking rewards program on July 8, allocating 250 million EOS tokens to incentivize network participation. This move comes as part of a broader effort to revamp the network's tokenomics and potentially increase its competitiveness in the blockchain space. Under the new program, 85,600 EOS tokens will be distributed daily to participants who stake their tokens. The network claims this could initially yield an annual percentage yield (APY) of over 60% for early adopters, though this rate is likely to fluctuate as more users join the program. A key change in the new staking model is the extension of the lock-up period from four to 21 days. This longer commitment period may impact liquidity for participants but could contribute to increased network stability. The program also introduces new incentives for EOS Block Producers, the entities responsible for validating transactions and maintaining the network. These validators will now receive network-generated fees in addition to their standard block rewards, a move that ties their compensation more directly to network usage. Industry analysts have mixed views on the potential impact of this program. Some see it as a necessary step to revitalize interest in the EOS ecosystem, which has faced challenges in recent years. "This staking program could attract new participants to EOS, potentially improving network security and stability," said blockchain economist Dr. Jane Smith. "However, the success of such initiatives often depends on broader market conditions and the network's ability to attract and retain developers." Critics, however, argue that high staking rewards are not a sustainable long-term strategy. While attractive yields may boost short-term participation, the real test will be whether EOS can generate enough genuine economic activity to support these rewards over time. The launch of this staking program comes at a time when many blockchain networks are refining their tokenomic models to balance network security, user incentives, and sustainable growth. As the crypto market continues to evolve, the effectiveness of EOS's new approach will likely be closely watched by industry observers. Final Thoughts The EOS Network Foundation, which oversees the development of the EOS blockchain, has stated that this program is part of a larger strategy to enhance the network's value proposition. However, they have not provided specific targets for staking participation or other metrics to measure the program's success. As the program unfolds, its impact on EOS token value, network participation, and overall ecosystem health will become clearer. For now, it represents a significant shift in the network's approach to incentivizing stakeholders and securing its blockchain infrastructure. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. The EOS Network launched a new staking rewards program on July 8, allocating 250 million EOS tokens to incentivize network participation. This move comes as part of a broader effort to revamp the network's tokenomics and potentially increase its competitiveness in the blockchain space. EOS Network Under the new program, 85,600 EOS tokens will be distributed daily to participants who stake their tokens. The network claims this could initially yield an annual percentage yield (APY) of over 60% for early adopters, though this rate is likely to fluctuate as more users join the program. A key change in the new staking model is the extension of the lock-up period from four to 21 days. This longer commitment period may impact liquidity for participants but could contribute to increased network stability. The program also introduces new incentives for EOS Block Producers, the entities responsible for validating transactions and maintaining the network. These validators will now receive network-generated fees in addition to their standard block rewards, a move that ties their compensation more directly to network usage. Industry analysts have mixed views on the potential impact of this program. Some see it as a necessary step to revitalize interest in the EOS ecosystem, which has faced challenges in recent years. "This staking program could attract new participants to EOS, potentially improving network security and stability," said blockchain economist Dr. Jane Smith. "However, the success of such initiatives often depends on broader market conditions and the network's ability to attract and retain developers." Critics, however, argue that high staking rewards are not a sustainable long-term strategy. While attractive yields may boost short-term participation, the real test will be whether EOS can generate enough genuine economic activity to support these rewards over time. The launch of this staking program comes at a time when many blockchain networks are refining their tokenomic models to balance network security, user incentives, and sustainable growth. As the crypto market continues to evolve, the effectiveness of EOS's new approach will likely be closely watched by industry observers. Final Thoughts The EOS Network Foundation, which oversees the development of the EOS blockchain, has stated that this program is part of a larger strategy to enhance the network's value proposition. However, they have not provided specific targets for staking participation or other metrics to measure the program's success. As the program unfolds, its impact on EOS token value, network participation, and overall ecosystem health will become clearer. For now, it represents a significant shift in the network's approach to incentivizing stakeholders and securing its blockchain infrastructure. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

EOS Network Unveils 250M Token Staking Program

EOS নেটওয়ার্ক 250M টোকেন স্টেকিং প্রোগ্রাম উন্মোচন করেছে

EOS Network stellt 250M Token Staking-Programm vor

EOS Network presenta un programa de participación de tokens de 250 millones

Le réseau EOS dévoile un programme de jalonnement de 250 millions de jetons

EOS नेटवर्क ने 250M टोकन स्टेकिंग प्रोग्राम का अनावरण किया

EOSネットワークが2億5000万トークンのステーキングプログラムを発表

EOS 네트워크, 2억 5천만 토큰 스테이킹 프로그램 공개

EOS Network lança programa de piquetagem de tokens de 250 milhões

Сеть EOS представляет программу ставок на 250 миллионов токенов

EOS Ağı 250 Milyon Token Staking Programını Açıkladı

Mạng EOS ra mắt chương trình đặt cược mã thông báo 250 triệu

EOS 网络推出 2.5 亿代币质押计划

SSV Network, a distributed validator platform for Ethereum, has reached a significant milestone of 1 million ETH staked on its network. This development marks a notable advancement in the Ethereum staking ecosystem, potentially enhancing the blockchain's overall security and decentralization. Key Points: SSV Network now holds over $3 billion in total value locked (TVL)
Nearly 30,000 validators and more than 700 node operators are active on the network
Approximately $1.2 billion of the total TVL comes from partners in the restaking ecosystem The protocol, which went live in December 2023, allows for the distribution of validator duties across multiple node operators. This approach aims to increase resilience, uptime, and decentralization of the Ethereum network. SSV Network's distributed validator technology (DVT) enables the geographical distribution of Ethereum validator nodes across multiple machines and components. This design offers users greater flexibility and resilience compared to traditional non-DVT staking platforms. The platform has attracted integrations from several prominent players in the crypto space, including Lido Finance, Ether.fi, P2P.org, and Renzo. SSV Network has announced plans to reduce hardware requirements for node operators by 75-90% over the next 12 months. This initiative aims to address the current trend of increasing hardware costs, which have risen from the recommended 4-core CPU to 8-core. The achievement of 1 million ETH staked on SSV Network represents a significant vote of confidence in distributed validator technology. This milestone could have several implications for the broader Ethereum ecosystem: Final Thoughts SSV Network's achievement of 1 million ETH staked represents a significant milestone in the Ethereum ecosystem, potentially enhancing network security and decentralization through distributed validator technology (DVT). This development could reshape the staking landscape, promoting innovation and improved services. However, the long-term implications for Ethereum's performance and security remain to be fully understood, particularly in terms of scalability, regulatory considerations, and interaction with future Ethereum upgrades. As with any emerging technology in the rapidly evolving blockchain space, cautious optimism is warranted. While the potential benefits of DVT are promising, ongoing research, real-world testing, and careful monitoring will be crucial to assess its true impact. The industry will need to navigate challenges in user adoption, education, and potential regulatory scrutiny as this technology matures. Ultimately, the success of SSV Network and similar platforms will depend on their ability to deliver on the promise of enhanced security and decentralization while adapting to the changing needs of the Ethereum ecosystem. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. SSV Network , a distributed validator platform for Ethereum, has reached a significant milestone of 1 million ETH staked on its network. This development marks a notable advancement in the Ethereum staking ecosystem, potentially enhancing the blockchain's overall security and decentralization. SSV Network Key Points: SSV Network now holds over $3 billion in total value locked (TVL) Nearly 30,000 validators and more than 700 node operators are active on the network Approximately $1.2 billion of the total TVL comes from partners in the restaking ecosystem SSV Network now holds over $3 billion in total value locked (TVL) Nearly 30,000 validators and more than 700 node operators are active on the network Approximately $1.2 billion of the total TVL comes from partners in the restaking ecosystem The protocol, which went live in December 2023, allows for the distribution of validator duties across multiple node operators. This approach aims to increase resilience, uptime, and decentralization of the Ethereum network. SSV Network's distributed validator technology (DVT) enables the geographical distribution of Ethereum validator nodes across multiple machines and components. This design offers users greater flexibility and resilience compared to traditional non-DVT staking platforms. The platform has attracted integrations from several prominent players in the crypto space, including Lido Finance, Ether.fi , P2P.org , and Renzo. Ether.fi P2P.org SSV Network has announced plans to reduce hardware requirements for node operators by 75-90% over the next 12 months. This initiative aims to address the current trend of increasing hardware costs, which have risen from the recommended 4-core CPU to 8-core. The achievement of 1 million ETH staked on SSV Network represents a significant vote of confidence in distributed validator technology. This milestone could have several implications for the broader Ethereum ecosystem: Final Thoughts SSV Network's achievement of 1 million ETH staked represents a significant milestone in the Ethereum ecosystem, potentially enhancing network security and decentralization through distributed validator technology (DVT). This development could reshape the staking landscape, promoting innovation and improved services. However, the long-term implications for Ethereum's performance and security remain to be fully understood, particularly in terms of scalability, regulatory considerations, and interaction with future Ethereum upgrades. As with any emerging technology in the rapidly evolving blockchain space, cautious optimism is warranted. While the potential benefits of DVT are promising, ongoing research, real-world testing, and careful monitoring will be crucial to assess its true impact. The industry will need to navigate challenges in user adoption, education, and potential regulatory scrutiny as this technology matures. Ultimately, the success of SSV Network and similar platforms will depend on their ability to deliver on the promise of enhanced security and decentralization while adapting to the changing needs of the Ethereum ecosystem. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

SSV Network Reshapes Ethereum Security with $3B in TVL

SSV নেটওয়ার্ক TVL-এ $3B দিয়ে Ethereum সিকিউরিটি রিশেপ করে৷

SSV Network gestaltet die Ethereum-Sicherheit mit 3 Milliarden US-Dollar in TVL neu

SSV Network remodela la seguridad de Ethereum con $3 mil millones en TVL

Le réseau SSV remodèle la sécurité d'Ethereum avec 3 milliards de dollars en TVL

एसएसवी नेटवर्क ने 3 बिलियन डॉलर के टीवीएल के साथ एथेरियम सुरक्षा को नया रूप दिया

SSV ネットワークが 30 億ドルの TVL でイーサリアムのセキュリティを再構築

SSV 네트워크, TVL 30억 달러로 이더리움 보안 재편

Rede SSV remodela a segurança Ethereum com US$ 3 bilhões em TVL

Сеть SSV меняет безопасность Ethereum с помощью TVL на 3 миллиарда долларов

SSV Ağı, TVL'de 3 Milyar Dolar ile Ethereum Güvenliğini Yeniden Şekillendiriyor

Mạng SSV định hình lại bảo mật Ethereum với 3 tỷ USD TVL

SSV 网络通过 30 亿美元的 TVL 重塑以太坊安全性

Author:
(1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction
Dataset
Methods
Results
Discussion
Conclusion, References, and Appendix III. METHODS We seek to establish a relationship between IMDb ratings and network indicators for a given TV series. Each temporal graph corresponds to ten scenes from an episode, whereas each IMDb review corresponds to one episode. Thus, to study the graph metrics for each episode, we first aggregate all segment graphs in one episode into one single weighted episode graph. Then, we study metrics on the aggregated episode graph. A. Segment Graph Aggregation B. Network Metrics We seek to establish a relationship between IMDb ratings and network indicators for a given TV series. Each temporal graph corresponds to ten scenes from an episode, whereas each IMDb review corresponds to one episode. Thus, to study the graph metrics for each episode, we first aggregate all segment graphs in one episode into one single weighted episode graph. Then, we study metrics on the aggregated episode graph. 1) Active Nodes: Active nodes are the total number of nodes in a graph with at least one edge connecting them to another node. The number of active nodes represents the number of characters that speak during an episode. We use the number of active nodes in an episode graph to describe the complexity of the episode plot in this study. 2) Network Density: A graph’s density is the ratio between the number of actual edges that exist in a graph to the maximum number of edges that the graph can have. It indicates how many of a graph’s potential connections are real connections. We define density as the following, where n represents the number of nodes and m represents the number of edges. Figure 4 shows the time series for the number of active nodes and the network density for different segment graphs from Game of Thrones episode 1. The density of the graph increases as more characters converse with one another. Characters in sparse graphs are often still connected, but the conversations are between two characters and not necessarily talk with many other characters. We use network density to measure the level of character interactions in each TV episode. 3) Node Strength: A node’s strength is defined as the sum of the strengths, or weights, of the node’s edges. Since the edge weight in our graph indicates the time spent conversing between two characters, the strength of a character is the total amount of time spent conversing with all other characters. Figure 5 shows the time series of characters with top 5 highest graph node strength from the Game of Thrones episode 1 graph. The maximum value of node strengths describes the total conversation time of the character who talked most with other characters during this episode. We use this metric to describe the exposure of the most active character in the episode. In this study, the TV episode graphs are usually separated into separate subgraphs, often without any connections between these subgraphs. To more accurately represent these subgraphs, we use local efficiency, calculated from the average value of a subgraph’s global efficiency. 5) Network Transitivity: Network transitivity is the overall probability for the network to have interconnected adjacent nodes, revealing the existence of tightly connected communities. It refers to the extent to which the relation that relates two nodes in a network that are connected by an edge is transitive. The network transitivity is the fraction of all possible triangles present in G. It is computed as dividing total number of node triangles in the graphs by the total number of “triads” (two edges with a shared vertex) Network transitivity is widely used to examine the level of clustering in social network analysis. In the content of character networks, high transitivity means that the network contains communities or groups of characters that are closely interacting with each other. We use network transitivity to measure the extent of the complex relationship between characters, and their relation to the plot. 6) Degree Centrality: In a connected graph, centrality is used to measure the importance of various nodes in a graph. In this study, we use various centrality metrics to measure the conversational interaction patterns of different characters in each TV episode. Degree centrality is the simplest measure of centrality. The degree of a node is defined as the number of edges or connections that a node has to other nodes. In the context of character networks in TV shows, the degree of a character represents the number of other characters that they interact with in a given episode. Figure 6 illustrates the time series of characters with the top 5 highest degrees in the character network from the first episode of Game of Thrones. A node with a higher degree than the rest of the nodes may be considered a central or pivotal character, as they have a large number of interactions with other characters. As our episode graph is aggregated from multiple segment graphs, the large number of interactions can be spread over different scenes, or concentrated in a few scenes involving many characters. In this research, we will use the distribution of node degrees, including the maximum value and standard deviation, to describe the patterns of conversational interactions among the characters in a given episode. 7) Closeness Centrality and Harmonic Centrality: The closeness centrality of a node in a connected graph, which is determined as the reciprocal of the sum of the shortest distances between the node and all other nodes in the graph, is a measure of centrality in a network. A node with a higher closeness centrality value is closer to all other nodes. However, in our study, the TV episode graph is not necessarily a connected graph, as there can be some characters forming subgroups that do not interact with characters outside their subgroup. Therefore, we use harmonic centrality instead of closeness centrality to allow disconnected networks in our research. The harmonic centrality of a node u is defined as the sum of reciprocals of the shortest path distances from all other nodes to node u. Two nodes that are unreachable to each other has a distance of infinity. In our study, we use harmonic centralization distribution (max value, standard deviation) to measure the extent to which the plot of the TV episode is concentrated on a single actor or a group of actors. 8) Eigenvector Centrality: While degree centrality measures the number of connections a node has, it does not take into account the influence of a node’s neighbors on its own importance. To address this, we can use eigenvector centrality, which considers the importance of a node’s neighbors in determining the node’s overall importance. A node with a high eigenvector score is connected to many other nodes with high scores, indicating that it is connected to influential characters. In the context of character networks in TV shows, a character with a high eigenvector centrality is likely to be connected to characters who are also considered influential within the network. This can be useful in understanding the importance of a character within the context of the overall plot and character relationships. This paper is available on arxiv under CC 4.0 license. Author: (1) Melody Yu, Sage Hill School, California, USA. Author: Author: (1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix Abstract and Introduction Abstract and Introduction Dataset Dataset Methods Methods Results Results Discussion Discussion Conclusion, References, and Appendix Conclusion, References, and Appendix III. METHODS We seek to establish a relationship between IMDb ratings and network indicators for a given TV series. Each temporal graph corresponds to ten scenes from an episode, whereas each IMDb review corresponds to one episode. Thus, to study the graph metrics for each episode, we first aggregate all segment graphs in one episode into one single weighted episode graph. Then, we study metrics on the aggregated episode graph. A. Segment Graph Aggregation A. Segment Graph Aggregation B. Network Metrics B. Network Metrics We seek to establish a relationship between IMDb ratings and network indicators for a given TV series. Each temporal graph corresponds to ten scenes from an episode, whereas each IMDb review corresponds to one episode. Thus, to study the graph metrics for each episode, we first aggregate all segment graphs in one episode into one single weighted episode graph. Then, we study metrics on the aggregated episode graph. 1) Active Nodes: Active nodes are the total number of nodes in a graph with at least one edge connecting them to another node. The number of active nodes represents the number of characters that speak during an episode. We use the number of active nodes in an episode graph to describe the complexity of the episode plot in this study. 1) Active Nodes: 2) Network Density: A graph’s density is the ratio between the number of actual edges that exist in a graph to the maximum number of edges that the graph can have. It indicates how many of a graph’s potential connections are real connections. We define density as the following, where n represents the number of nodes and m represents the number of edges. 2) Network Density: Figure 4 shows the time series for the number of active nodes and the network density for different segment graphs from Game of Thrones episode 1. The density of the graph increases as more characters converse with one another. Characters in sparse graphs are often still connected, but the conversations are between two characters and not necessarily talk with many other characters. We use network density to measure the level of character interactions in each TV episode. 3) Node Strength: A node’s strength is defined as the sum of the strengths, or weights, of the node’s edges. Since the edge weight in our graph indicates the time spent conversing between two characters, the strength of a character is the total amount of time spent conversing with all other characters. 3) Node Strength: Figure 5 shows the time series of characters with top 5 highest graph node strength from the Game of Thrones episode 1 graph. The maximum value of node strengths describes the total conversation time of the character who talked most with other characters during this episode. We use this metric to describe the exposure of the most active character in the episode. In this study, the TV episode graphs are usually separated into separate subgraphs, often without any connections between these subgraphs. To more accurately represent these subgraphs, we use local efficiency, calculated from the average value of a subgraph’s global efficiency. 5) Network Transitivity: Network transitivity is the overall probability for the network to have interconnected adjacent nodes, revealing the existence of tightly connected communities. It refers to the extent to which the relation that relates two nodes in a network that are connected by an edge is transitive. The network transitivity is the fraction of all possible triangles present in G. It is computed as dividing total number of node triangles in the graphs by the total number of “triads” (two edges with a shared vertex) 5) Network Transitivity: Network transitivity is widely used to examine the level of clustering in social network analysis. In the content of character networks, high transitivity means that the network contains communities or groups of characters that are closely interacting with each other. We use network transitivity to measure the extent of the complex relationship between characters, and their relation to the plot. 6) Degree Centrality: In a connected graph, centrality is used to measure the importance of various nodes in a graph. In this study, we use various centrality metrics to measure the conversational interaction patterns of different characters in each TV episode. 6) Degree Centrality: Degree centrality is the simplest measure of centrality. The degree of a node is defined as the number of edges or connections that a node has to other nodes. In the context of character networks in TV shows, the degree of a character represents the number of other characters that they interact with in a given episode. Figure 6 illustrates the time series of characters with the top 5 highest degrees in the character network from the first episode of Game of Thrones. A node with a higher degree than the rest of the nodes may be considered a central or pivotal character, as they have a large number of interactions with other characters. As our episode graph is aggregated from multiple segment graphs, the large number of interactions can be spread over different scenes, or concentrated in a few scenes involving many characters. In this research, we will use the distribution of node degrees, including the maximum value and standard deviation, to describe the patterns of conversational interactions among the characters in a given episode. 7) Closeness Centrality and Harmonic Centrality: The closeness centrality of a node in a connected graph, which is determined as the reciprocal of the sum of the shortest distances between the node and all other nodes in the graph, is a measure of centrality in a network. A node with a higher closeness centrality value is closer to all other nodes. 7) Closeness Centrality and Harmonic Centrality: However, in our study, the TV episode graph is not necessarily a connected graph, as there can be some characters forming subgroups that do not interact with characters outside their subgroup. Therefore, we use harmonic centrality instead of closeness centrality to allow disconnected networks in our research. The harmonic centrality of a node u is defined as the sum of reciprocals of the shortest path distances from all other nodes to node u. Two nodes that are unreachable to each other has a distance of infinity. In our study, we use harmonic centralization distribution (max value, standard deviation) to measure the extent to which the plot of the TV episode is concentrated on a single actor or a group of actors. 8) Eigenvector Centrality: While degree centrality measures the number of connections a node has, it does not take into account the influence of a node’s neighbors on its own importance. To address this, we can use eigenvector centrality, which considers the importance of a node’s neighbors in determining the node’s overall importance. 8) Eigenvector Centrality: A node with a high eigenvector score is connected to many other nodes with high scores, indicating that it is connected to influential characters. In the context of character networks in TV shows, a character with a high eigenvector centrality is likely to be connected to characters who are also considered influential within the network. This can be useful in understanding the importance of a character within the context of the overall plot and character relationships. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Decoding the Popularity of TV Series: A Network Analysis Perspective: Methods

Author:
(1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction
Dataset
Methods
Results
Discussion
Conclusion, References, and Appendix DATASET Our dataset is composed of character networks created by Bost. et. al. 2016 from three popular TV series. To capture a dynamic view of the character interactions, every episode’s character network is constructed by creating multiple successive static character networks. A single-character network, also described as a segment graph or temporal graph, is defined as the interactions between characters over a period of ten scenes. Each episode contains multiple scenes, which means it can be split into multiple segment graphs. For the TV series Game of Thrones episode 1, 31 segment graphs are created from 310 scenes. Each graph of this episode contains between 14 and 17 nodes and 15 to 18 edges. Our dataset is extracted from three popular TV series: Breaking Bad (seasons 1-2), Game of Thrones (seasons 1-5), and House of Cards (seasons 1-2). We additionally use the reviews of these shows from IMDb, an online database of information related to films and television series. Each review shows the average rating of an episode, represented by a decimal number between 1 and 10 with higher numbers representing more favorable or more liked episodes. IMDb’s reviews are formed by aggregating individual reviews from registered users. Users are allowed to cast one vote per episode. It is important to note that IMDb ratings for TV show episodes reflect the overall quality of the episode, not just the character interactions and plot. Other factors such as special effects, guest stars, and cinematography may also influence the score given by viewers. It is possible that these additional elements contribute to the overall enjoyment of the episode and are therefore included in the rating. Figure 2 shows the IMDb reviews of Season 1 of Game of Thrones. The x-axis is the name of the episode, while the y-axis is the IMDb review of the episode. This paper is available on arxiv under CC 4.0 license. Author: (1) Melody Yu, Sage Hill School, California, USA. Author: Author: (1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix Abstract and Introduction Abstract and Introduction Dataset Dataset Methods Methods Results Results Discussion Discussion Conclusion, References, and Appendix Conclusion, References, and Appendix DATASET Our dataset is composed of character networks created by Bost. et. al. 2016 from three popular TV series. To capture a dynamic view of the character interactions, every episode’s character network is constructed by creating multiple successive static character networks. A single-character network, also described as a segment graph or temporal graph, is defined as the interactions between characters over a period of ten scenes. Each episode contains multiple scenes, which means it can be split into multiple segment graphs. For the TV series Game of Thrones episode 1, 31 segment graphs are created from 310 scenes. Each graph of this episode contains between 14 and 17 nodes and 15 to 18 edges. Our dataset is extracted from three popular TV series: Breaking Bad (seasons 1-2), Game of Thrones (seasons 1-5), and House of Cards (seasons 1-2). We additionally use the reviews of these shows from IMDb, an online database of information related to films and television series. Each review shows the average rating of an episode, represented by a decimal number between 1 and 10 with higher numbers representing more favorable or more liked episodes. IMDb’s reviews are formed by aggregating individual reviews from registered users. Users are allowed to cast one vote per episode. It is important to note that IMDb ratings for TV show episodes reflect the overall quality of the episode, not just the character interactions and plot. Other factors such as special effects, guest stars, and cinematography may also influence the score given by viewers. It is possible that these additional elements contribute to the overall enjoyment of the episode and are therefore included in the rating. Figure 2 shows the IMDb reviews of Season 1 of Game of Thrones. The x-axis is the name of the episode, while the y-axis is the IMDb review of the episode. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Decoding the Popularity of TV Series: A Network Analysis Perspective: Dataset

Author:
(1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction
Dataset
Methods
Results
Discussion
Conclusion, References, and Appendix Abstract—In this paper, we analyze the character networks extracted from three popular television series and explore the relationship between a TV show episode’s character network metrics and its review from IMDB. Character networks are graphs created from the plot of a TV show that represents the interactions of characters in scenes, indicating the presence of a connection between them. We calculate various network metrics for each episode, such as node degree and graph density, and use these metrics to explore the potential relationship between network metrics and TV series reviews from IMDB. Our results show that certain network metrics of character interactions in episodes have a strong correlation with the review score of TV series. Our research aims to provide more quantitative information that can help TV producers understand how to adjust the character dynamics of future episodes to appeal to their audience. By understanding the impact of character interactions on audience engagement and enjoyment, producers can make informed decisions about the development of their shows. Index Terms—computational linguistics, character networks, network analysis, TV series INTRODUCTION People only have so much time. When we come home from work or school, we have our priorities; we do chores, send emails, or catch up on our favorite TV shows. For producers and TV channels, this time is imperative. The number of viewers on a show can vastly differ based on the time a show airs, and there are only so many slots available; ideal “prime times” like Tuesday at 9 pm can only be occupied by so many shows. Additionally, viewers only have so many shows they can be invested in at the same time. For the 122.4 million households that watch TV, this poses an interesting question. What makes a show good; more so, what makes a show continue to be good? Unlike movies, TV shows consistently need to produce episode after episode, season after season. Sometimes viewership drops, and your favorite 9 o’clock show is canceled and taken off-air, or disappears from your favorite streaming service. But why? For the executives producing a show, the answer is simple: ratings. High ratings mean more seasons, and low ratings mean the show ends. But there’s more to it than that. Quality fluctuates, and many shows are notorious for their lackluster attempts at good content in later seasons. What causes a great show, loved and revered in seasons one through three, to suddenly become an insult to its fans, its ratings plummeting in the next four seasons? To answer this question, we need to look at what makes a show good in the first place. Ratings are determined by viewer satisfaction, so what did I see in a show that made me want to invest my time in the first place? Is that related to why I don’t enjoy it now? The answer could be something that the viewers themselves might not even know. In this paper, we attempt to understand the psychology behind these ratings through character networks, and the different interactions between characters. More specifically, we try to find a correlation between the reviews of TV show episodes and the character interactions. We use different metrics of network analysis to quantitatively answer the question: do character interactions affect ratings in TV series? Network analysis is described as the “set of integrated techniques to depict relations among actors and to analyze the social structures that emerge from the recurrence of these relations”. We use network analysis to analyze graphs. A graph is a collection of nodes (vertices) along with identified pairs of nodes connected with edges. This paper applies network analysis to specific graphs called character networks, where character networks are defined as graphs that represent the interactions between characters in a fictional setting. Different methodologies to observe the behavior of a network and perform network analysis are known as network metrics. We can thus transform our previous question into: for a given TV show, is there a connection between a network metric and the popularity of an episode? This paper is available on arxiv under CC 4.0 license. Author: (1) Melody Yu, Sage Hill School, California, USA. Author: Author: (1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix Abstract and Introduction Abstract and Introduction Dataset Dataset Methods Methods Results Results Discussion Discussion Conclusion, References, and Appendix Conclusion, References, and Appendix Abstract—In this paper, we analyze the character networks extracted from three popular television series and explore the relationship between a TV show episode’s character network metrics and its review from IMDB. Character networks are graphs created from the plot of a TV show that represents the interactions of characters in scenes, indicating the presence of a connection between them. We calculate various network metrics for each episode, such as node degree and graph density, and use these metrics to explore the potential relationship between network metrics and TV series reviews from IMDB. Our results show that certain network metrics of character interactions in episodes have a strong correlation with the review score of TV series. Our research aims to provide more quantitative information that can help TV producers understand how to adjust the character dynamics of future episodes to appeal to their audience. By understanding the impact of character interactions on audience engagement and enjoyment, producers can make informed decisions about the development of their shows. Abstract —In this paper, we analyze the character networks extracted from three popular television series and explore the relationship between a TV show episode’s character network metrics and its review from IMDB. Character networks are graphs created from the plot of a TV show that represents the interactions of characters in scenes, indicating the presence of a connection between them. We calculate various network metrics for each episode, such as node degree and graph density, and use these metrics to explore the potential relationship between network metrics and TV series reviews from IMDB. Our results show that certain network metrics of character interactions in episodes have a strong correlation with the review score of TV series. Our research aims to provide more quantitative information that can help TV producers understand how to adjust the character dynamics of future episodes to appeal to their audience. By understanding the impact of character interactions on audience engagement and enjoyment, producers can make informed decisions about the development of their shows. Abstract Index Terms—computational linguistics, character networks, network analysis, TV series Index Terms —computational linguistics, character networks, network analysis, TV series Index Terms INTRODUCTION People only have so much time. When we come home from work or school, we have our priorities; we do chores, send emails, or catch up on our favorite TV shows. For producers and TV channels, this time is imperative. The number of viewers on a show can vastly differ based on the time a show airs, and there are only so many slots available; ideal “prime times” like Tuesday at 9 pm can only be occupied by so many shows. Additionally, viewers only have so many shows they can be invested in at the same time. For the 122.4 million households that watch TV, this poses an interesting question. What makes a show good; more so, what makes a show continue to be good? Unlike movies, TV shows consistently need to produce episode after episode, season after season. Sometimes viewership drops, and your favorite 9 o’clock show is canceled and taken off-air, or disappears from your favorite streaming service. But why? For the executives producing a show, the answer is simple: ratings. High ratings mean more seasons, and low ratings mean the show ends. But there’s more to it than that. Quality fluctuates, and many shows are notorious for their lackluster attempts at good content in later seasons. What causes a great show, loved and revered in seasons one through three, to suddenly become an insult to its fans, its ratings plummeting in the next four seasons? To answer this question, we need to look at what makes a show good in the first place. Ratings are determined by viewer satisfaction, so what did I see in a show that made me want to invest my time in the first place? Is that related to why I don’t enjoy it now? The answer could be something that the viewers themselves might not even know. In this paper, we attempt to understand the psychology behind these ratings through character networks, and the different interactions between characters. More specifically, we try to find a correlation between the reviews of TV show episodes and the character interactions. We use different metrics of network analysis to quantitatively answer the question: do character interactions affect ratings in TV series? Network analysis is described as the “set of integrated techniques to depict relations among actors and to analyze the social structures that emerge from the recurrence of these relations”. We use network analysis to analyze graphs. A graph is a collection of nodes (vertices) along with identified pairs of nodes connected with edges. This paper applies network analysis to specific graphs called character networks, where character networks are defined as graphs that represent the interactions between characters in a fictional setting. Different methodologies to observe the behavior of a network and perform network analysis are known as network metrics. We can thus transform our previous question into: for a given TV show, is there a connection between a network metric and the popularity of an episode? This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Decoding the Popularity of TV Series: A Network Analysis Perspective: Abstract and Introduction

Author:
(1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction
Dataset
Methods
Results
Discussion
Conclusion, References, and Appendix DISCUSSION The results of our research suggest that different character network structures may have different impacts on the quality of TV episodes. For example, the negative correlation between the number of active nodes and episode review scores in Game of Thrones may indicate that having too many characters in an episode can be overwhelming for viewers. On the other hand, for Breaking Bad, the positive correlation between the standard deviation of eigenvector centrality and episode review scores suggests that focusing on a smaller number of main characters is preferred over a wider focus on many different characters in a single episode. House of Cards had four correlations. The negative correlation between network efficiency and episode review implies that nodes are not in tight-knit groups - for example, character A might talk to character B who might talk to character C, but they might not talk in a group together. It also found a negative correlation between maximum harmonic centrality and episode review, implying again that characters have isolated conversations with one another rather than engaging in group discussions. Breaking Bad had a single positive correlation between network transitivity and episode review. This implies that episodes with tightly connected groups of characters tend to be preferred by viewers. It is important to note that a limitation of our study is that we only have the reviews for the episode as a whole, and not just for the character networks/dynamics. This means that many other factors such as cinematography, script writing, and plot, are all factored into a single review. Additionally, the placement and release of the episode are factors. For example, the finale of a series might be highly anticipated and receive a higher rating, or a guest star might appear in a particular episode and contribute to its score. Because the overall score of an episode represents all of these details together, we do not have the most accurate data to find a correlation between the character network and the metrics themselves. Our study is also limited to the types of metrics we tested. Though we tested many types, there are still many more network metrics that could potentially find greater correlations with the data. This paper is available on arxiv under CC 4.0 license. Author: (1) Melody Yu, Sage Hill School, California, USA. Author: Author: (1) Melody Yu, Sage Hill School, California, USA. Table of Links Abstract and Introduction Dataset Methods Results Discussion Conclusion, References, and Appendix Abstract and Introduction Abstract and Introduction Dataset Dataset Methods Methods Results Results Discussion Discussion Conclusion, References, and Appendix Conclusion, References, and Appendix DISCUSSION The results of our research suggest that different character network structures may have different impacts on the quality of TV episodes. For example, the negative correlation between the number of active nodes and episode review scores in Game of Thrones may indicate that having too many characters in an episode can be overwhelming for viewers. On the other hand, for Breaking Bad, the positive correlation between the standard deviation of eigenvector centrality and episode review scores suggests that focusing on a smaller number of main characters is preferred over a wider focus on many different characters in a single episode. House of Cards had four correlations. The negative correlation between network efficiency and episode review implies that nodes are not in tight-knit groups - for example, character A might talk to character B who might talk to character C, but they might not talk in a group together. It also found a negative correlation between maximum harmonic centrality and episode review, implying again that characters have isolated conversations with one another rather than engaging in group discussions. Breaking Bad had a single positive correlation between network transitivity and episode review. This implies that episodes with tightly connected groups of characters tend to be preferred by viewers. It is important to note that a limitation of our study is that we only have the reviews for the episode as a whole, and not just for the character networks/dynamics. This means that many other factors such as cinematography, script writing, and plot, are all factored into a single review. Additionally, the placement and release of the episode are factors. For example, the finale of a series might be highly anticipated and receive a higher rating, or a guest star might appear in a particular episode and contribute to its score. Because the overall score of an episode represents all of these details together, we do not have the most accurate data to find a correlation between the character network and the metrics themselves. Our study is also limited to the types of metrics we tested. Though we tested many types, there are still many more network metrics that could potentially find greater correlations with the data. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Decoding the Popularity of TV Series: A Network Analysis Perspective: Discussion

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