Unfolding identity of financial institutions in bitcoin blockchain by weekly pattern of network flows
Unfolding identity of financial institutions in bitcoin blockchain by weekly pattern of network flows
复制标题
通过每周的网络流量模式揭示比特币区块链中金融机构的身份
DOI：
10.1007/s40844-020-00184-z
复制
发表时间：
2021
影响因子：
0.9
通讯作者：
Hiwon Yoon
中科院分区：
文献类型：
--
作者：
Rubayiat Islam;Yoshi Fujiwara;Shinya Kawata;Hiwon Yoon
在本研究中，我们分析了2013年至2018年期间的比特币区块链数据。我们构建了日常网络，并分析了比特币用户的网络属性和比特币流，将其归因于用户之间的边缘流，以关注工作日和周末的活动。在真实的世界里，企业需要休假，尤其是在周末。这在加密资产世界中没有什么不同，理论上，加密资产世界是24/7可操作的。我们还对比特币的流动进行了阈值分析，以识别大钱包，并将其与现实世界的加密货币交易公司的身份进行比较，特别是他们的每周模式。最后，我们提出了一种方法来识别金融机构在比特币区块链的基础上满足一些关键标准。标准是具有高频率，持续出现在每日大宗交易中，并显示出明显的每周平均网络流量模式。
In this study, we analyzed bitcoin blockchain data for the period between 2013 and 2018. We constructed daily networks and analyzed the network properties of the bitcoin users and bitcoin flow attributed as edge flow circulated between users to focus on weekdays and weekends activities. In the real world, businesses take time off, particularly on weekends. This is no different in the crypto-asset world, which, theoretically, is operable 24/7. We also performed a threshold analysis of the flow of bitcoin to identify the big wallets and to compare it with the identity of real-world crypto-exchange companies, in particular, their weekly patterns. Finally, we propose a methodology to identify the financial institution in the bitcoin blockchain on the basis of fulfilling some key criteria. The criteria are having high frequency, appearing persistently on daily big trades and showing a distinct weekly pattern of total average network flow.