【Author】
Kumar, Ajay; Abhishek, Kumar; Nerurkar, Pranav; Ghalib, Muhammad Rukunuddin; Shankar, Achyut; Wen, Zheng; Qi, Xin
【Source】2020 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC WORKSHOPS)
【Abstract】Bitcoin system (or Bitcoin) is a peer-to-peer and decentralized payment system that uses cryptocurrency named bitcoins (BTCs) and was released as open-source software in 2009. Bitcoin platform has attracted both social and anti-social elements. On the one hand, it is social as it ensures the exchange of value, maintaining trust in a cooperative, community-driven manner without the need for a trusted third party. At the same time, it is anti-social as it creates hurdles for law enforcement to trace suspicious transactions due to anonymity and privacy. To understand how the social and anti-social tendencies in the user base of Bitcoin affect its evolution, there is a need to analyze the Bitcoin system as a network. The current paper aims to explore the local topology and geometry of the Bitcoin network during its first decade of existence. Bitcoin transaction data from 01 Jan 2016 00:00:00 GMT to 08 May 2020 13:21:33 GMT was processed for this purpose to build a Bitcoin user graph.
【Keywords】Bitcoin; Network Science; Graph Algorithms; Exploratory Data Analysis
【标题】比特币网络实证分析(2016-2020年)
【摘要】比特币系统(或比特币)是一种点对点的去中心化支付系统，使用名为比特币(btc)的加密货币，于2009年作为开源软件发布。比特币平台吸引了社交和反社交的元素。一方面，它是社会性的，因为它确保了价值交换，以一种合作的、社区驱动的方式维持信任，而不需要一个可信任的第三方。与此同时，由于匿名性和隐私问题，这给执法部门追踪可疑交易制造了障碍，是反社会的。为了理解比特币用户群体中的社交和反社会倾向如何影响其演变，有必要将比特币系统作为一个网络进行分析。本文旨在探索比特币网络在其第一个十年的局部拓扑和几何结构。比特币交易数据从2016年1月01日00:00:00至2020年5月08日13:21:33 GMT进行处理，以构建比特币用户图。
【关键词】比特币;网络科学;图算法;探索性数据分析
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