Blockchain network analysis
The blockchain technology introduced by bitcoin, with its decentralised peer-to-peer network and cryptographic protocols, provides a public and accessible database of bitcoin transactions that have attracted interest from both economics and network science as an example of a complex evolving monetary network. Despite the known cryptographic guarantees present in the blockchain, there exists significant evidence of inconsistencies and suspicious behavior in the chain. In this paper, we examine the prevalence and evolution of two types of anomalies occurring in coinbase transactions in blockchain mining, which we reported on in earlier research. We further develop our techniques for investigating the impact of these anomalies on the blockchain transaction network, by building networks induced by anomalous coinbase transactions at regular intervals and calculating a range of network measures, including degree correlation and assortativity, as well as inequality in terms of wealth and anomaly ratio using the Gini coefficient. We obtain time series of network measures calculated over the full transaction network and three sub-networks. Inspecting trends in these time series allows us to identify a period in time with particularly strange transaction behavior.
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Blockchain network analysis
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Content:
- Building a Transparent Supply Chain
- Blockchain Through the Lens of Network Science
- A Network Analyst's View of the Blockchain
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- Performance Modeling & Analysis of Hyperledger Fabric (Permissioned Blockchain Network)
- Layer 1 Blockchain Tokens: Everything You Need to Know
- Article Info.
- Best Blockchain Analysis Tools and How They Work?
- What Is Blockchain?
- Network Science
Building a Transparent Supply Chain
Blockchain as a trusted transaction register is being adopted as a ledger in multiple application areas. Initially started as a platform for cryptocurrencies, its applications are nowadays widespread and cover supply chains, financial services, healthcare, and public registers to name a few. As entities in a As entities in a blockchain are linked through transactions, blockchain is a complex network.
In such a network of transactions, first-order approaches in understanding blockchain are not enough to capture its complexity. Network science has developed multiple methods that allow for higher-order analysis of the networks. The apparatus of methods coming from this scientific discipline has already left a large footprint in other types of complex systems including financial, social, and biological and has only recently started to be applied to blockchain.
Network science is capable of bringing new insights into the analysis of blockchain systems, in order to boost their performance and increase their security as well as other important factors for the smooth evolution of blockchain-based systems.
In order to tackle the challenges found in complex networks, network science is linking multiple disciplines such as physics, computer science, mathematics, and other domain-dependent disciplines such as sociology, biology, or chemistry. The goal of this Research Topic is to provide the scientific community with the advancements of network science applied to blockchain by bridging them together.
We intend to present the state of the art in the area of network science methods applied to blockchain-based solutions. Network science has already boosted other research disciplines and industries in the past; we now expect new knowledge that can be generated and used for improving blockchain.
In this Research Topic, we intend to gather research manuscripts on tools, techniques, and results that are coming from network science and that are applied to blockchain. We are not limiting the application areas of the research; the blockchain-based systems can belong to any of the sectors: cryptocurrencies, healthcare, finance, supply chain, internet of things, voting, etc. The common denominator being network science used as a research methodology.
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About this Research Topic Blockchain as a trusted transaction register is being adopted as a ledger in multiple application areas. Keywords : Blockchain, Network Science, Complex Networks, Machine Learning, Security Important Note : All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Topic Editors. Views Demographics No records found total views article views article downloads topic views.
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Blockchain Through the Lens of Network Science
It was the first time people realized the potential of blockchain analysis to solve a criminal investigation. Today, blockchain analysis technology is used by financial institutions, crypto businesses, and law enforcement authorities to prevent and investigate cryptocurrency crimes worldwide. Cryptocurrencies are internet native currencies powered by blockchain technology. All the transactions are visible on the blockchain; however, blockchains do not contain real-world identities. Therefore associating these activities with real-world actors and stopping criminals is an ongoing challenge.
A Network Analyst's View of the Blockchain
Online social media, organization networks, decentralized computing systems are just a few examples of how interlinked our world has become. The goal of the course is to provide MA students with an introduction to network theory and social network analysis. This course is grounded in theory and applied towards practice. Students will get an overview of network science, starting from basic network models to advanced topics such as temporal network and percolation. Besides, it also introduces students to the tools that are typically used in network science. Students should be able to develop abilities to identify and apply suitable methods to deal with network analysis problems. Carlo Campajola theory and practice. Content: Advanced network science including both network theory and social network analysis. Prerequisites: Fundamental courses in statistics e.
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A blockchain is an immutable record of transactions called ledger between a distributed set of mutually untrusting peers. Although blockchain networks provide tremendous benefits, there are concerns about whether their performance would be a hindrance to its adoption. Our research is focused on Hyperledger Fabric HLF , which is an open-source implementation of a distributed ledger platform for running smart contracts in a modular architecture. We capture the key system operations and complex interactions between them.
Performance Modeling & Analysis of Hyperledger Fabric (Permissioned Blockchain Network)
No new commits yet. Enjoy your day! Blockchains are increasingly becoming popular due to the prevalence of cryptocurrencies and decentralized applications. Ethereum is a distributed public blockchain network that focuses on running code smart contracts for decentralized applications. More simply, it is a platform for sharing information in a global state that cannot be manipulated or changed. Ethereum blockchain introduces a novel ecosystem of human users and autonomous agents smart contracts.
Layer 1 Blockchain Tokens: Everything You Need to Know
Blockchain has been one of the most attractive technologies for many modern and even future applications. Fabric, an open-source framework to implement the permissioned enterprise-grade blockchain, is getting increasing attention from innovators. The latency performance is crucial to the Fabric blockchain in assessing its effectiveness. Many empirical studies were conducted to analyze this performance based on different hardware platforms. These experimental results are not comparable as they are highly dependent on the underlying networks. Moreover, theoretical analysis on the latency of Fabric blockchain still receives much less attention. This paper provides a novel theoretical model to calculate the transaction latency under various network configurations such as block size, block interval, etc.
Article Info.
Skip to search form Skip to main content Skip to account menu You are currently offline. Some features of the site may not work correctly. DOI: Vasilakos Published Computer Science Inf.
Best Blockchain Analysis Tools and How They Work?
RELATED VIDEO: Temporal Analysis of the Entire Ethereum Blockchain NetworkBlockchain as a trusted transaction register is being adopted as a ledger in multiple application areas. Initially started as a platform for cryptocurrencies, its applications are nowadays widespread and cover supply chains, financial services, healthcare, and public registers to name a few. As entities in a As entities in a blockchain are linked through transactions, blockchain is a complex network. In such a network of transactions, first-order approaches in understanding blockchain are not enough to capture its complexity.
What Is Blockchain?
One of the most promising applications of emerging blockchain technology is supply chain management. Blockchain—the digital record-keeping system developed for cryptocurrency networks—can help supply chain partners with some of their challenges by creating a complete, transparent, tamperproof history of the information flows, inventory flows, and financial flows in transactions. The authors studied seven large U. Their early initiatives show that the technology can enable faster and more cost-efficient product delivery, make products more traceable, streamline the financing process, and enhance coordination among buyers, suppliers, and banks. There are special requirements for using blockchain in supply chain management: restricting participation to known, trusted partners; adopting a new consensus protocol; and taking steps to keep errors and counterfeits out of the supply chain. But if implemented thoughtfully, the authors suggest, blockchain could pay big dividends for companies in a host of industries. Current approaches to recording the flows of information, inventory, and money in supply chain transactions leave a lot to be desired.
Network Science
This study aims to identify and compare contents and keywords used in articles related to blockchain applications to various industries. The text mining and Semantic Network Analysis, as methods of keyword network analysis, were used to analyze articles including terms of 'finance' 'energy' and 'logistics', which media and government frequently mentioned as areas that can apply blockchain technologies. For this study, data were collected from 43, articles from January, through July, Data crawling was carried out by using Python BeautifulSoup and data cleaning was performed in order to eliminate mutual redundancies of the three terms.
for general development, see Mona, but it could have been better,
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