【Author】
He Xi; Zhang Fan; Lin Shenwen; Mao Hongliang; He Ketai
【Source】PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020)
【Abstract】Bitcoin is a decentralized cryptocurrency that has led to a new trading model. It allows people to trade directly without going through financial institutions such as banks. This model results in many transactions that occur outside the law and beyond ethical constraints. In such an anonymous environment, the large number of entities using Bitcoin, and the huge scale or the Bitcoin trading network make it difficult for users to have a rough idea of the entire trading network before transaction. Thus, it is of great theoretical and practical significance to summarize the research problems, achievements and possible research trends based on Bitcoin data analysis. Therefore, in this paper we review the literatures about data analysis on Bitcoin transaction entities. Starting from the relevant conceptual framework of Bitcoin, this paper divides the existing research models into three categories, heuristic algorithm identification of entities, transaction descriptive statistics and network analysis, and visual system analysis. By analyzing the transaction entity, Bitcoin transaction data can he processed in a manner which is similar to an account, such as a bank or credit card, thereby achieving the purpose of in-depth analysis of all transaction activities related to the account entity. Finally, we summarize the data analysis results of Bitcoin transaction network and prospects of the future research directions.
【Keywords】Blockchain; Bitcoin; Cryptocurrency; Transaction Entity; Data Analysis
【摘要】比特币是一种去中心化的加密货币，它带来了一种新的交易模式。它允许人们不通过银行等金融机构直接进行交易。这种模式导致了许多发生在法律和道德约束之外的交易。在这样的匿名环境下，使用比特币的实体数量庞大，比特币交易网络规模庞大，用户在进行交易前很难对整个交易网络有一个粗略的了解。因此，总结基于比特币数据分析的研究问题、成果和可能的研究趋势，具有重要的理论和现实意义。因此，本文回顾了比特币交易实体数据分析的相关文献。本文从比特币的相关概念框架出发，将现有的研究模型分为三大类:实体启发式算法识别、交易描述统计与网络分析、可视化系统分析。通过对交易实体的分析，比特币交易数据可以以类似于账户的方式进行处理，如银行或信用卡，从而达到深入分析与账户实体相关的所有交易活动的目的。最后，总结了比特币交易网络的数据分析结果，并对未来的研究方向进行了展望。
【关键词】区块链;比特币;加密数字货币;事务的实体;数据分析
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