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.

中文翻译：

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通过每周网络流量模式在比特币区块链中展现金融机构的身份

在这项研究中，我们分析了2013年至2018年期间的比特币区块链数据。我们构建了每日网络，并分析了比特币用户的网络属性和归因于用户之间的边缘流的比特币流，重点关注工作日和周末活动。在现实世界中，企业会休假，尤其是在周末。在理论上可24/7可操作的密码资产世界中，这没有什么不同。我们还对比特币流量进行了阈值分析，以识别大钱包并将其与真实世界的加密货币交换公司的身份进行比较，尤其是它们的每周模式。最后，我们提出了一种在满足一些关键标准的基础上识别比特币区块链中的金融机构的方法。准则频率很高，