Abstract Proceedings of IESMDT - 2021
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BLOCKCHAIN DATA ANALYSIS FROM THE PERSPECTIVE OF COMPLEX NETWORKS
A framework for blockchain data analysis blockchain data analysis provides opportunities to mine and analyze data in blockchains. Analysis of attribute graph can provide insights into various economic indicators and Internet security. This article summarizes and analyzes the literature on cryptocurrency transaction data. the authors present a data analysis framework.Cryptocurrency based on blockchain technology has gradually become a choice for people to vest in, and several users have participated in the accumulation of massive transaction data Complete transaction records in blockchains and the openness of data provide researchers with opportunities to mine and analyze data in blockchains. Network modeling and analysis of cryptocurrency transaction records are common methods in blockchain data analysis. The analysis of attribute graph can provide insights into various economic indicators, illegal activities, and general Internet security, among others accordingly, this article aims to summarize and analyze the literature on cryptocurrency transaction data from the perspective of complex networks. To provide systematic guidance for researchers, the put forward a blockchains data analysis framework based on the introduction of the relevant background and reviewed the work from five aspects blockchain data model, data acquisition on blockchains, existing analysis tools, available insights and common analysis methods. For each aspect, we introduce the research problems, summarize the methods, and discuss the results and findings finally, we present future research ports and several open questions in the study of cryptocurrency transaction networks.
Blockchain data analysis, Complex networks
17/09/2021
47
IESMDT45
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025