Bitcoin's Crypto Flow Network
Bitcoin's Crypto Flow Network
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DOI：
10.7566/jpscp.36.011002
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Yoshiyuki Fujiwara;Rubaiyat Islam
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文献类型：
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作者：
Yoshiyuki Fujiwara;Rubaiyat Islam
密码如何在比特币用户之间流动，是在全球范围内了解加密资产的结构和动态的一个重要问题。我们汇总了比特币从诞生到2020年的所有区块链数据，从钱包的匿名地址识别用户，并通过将普通用户作为大玩家来构建网络月度快照。我们使用蝴蝶结结构和Hodge分解的方法来定位用户在整个密码流的上行、下行和核心位置。此外，我们通过使用非负矩阵分解来揭示隐藏在流中的主成分，我们将其解释为概率模型。我们证明了该模型等价于自然语言处理中的概率潜在语义分析，使我们能够估计这些隐藏成分的数量。此外，我们还发现，领带结构和主成分在这些大玩家中相当稳定。这一研究可以为进一步研究密码流的时间变化、大玩家的进出等奠定坚实的基础。
How crypto flows among Bitcoin users is an important question for understanding the structure and dynamics of the cryptoasset at a global scale. We compiled all the blockchain data of Bitcoin from its genesis to the year 2020, identified users from anonymous addresses of wallets, and constructed monthly snapshots of networks by focusing on regular users as big players. We apply the methods of bow-tie structure and Hodge decomposition in order to locate the users in the upstream, downstream, and core of the entire crypto flow. Additionally, we reveal principal components hidden in the flow by using non-negative matrix factorization, which we interpret as a probabilistic model. We show that the model is equivalent to a probabilistic latent semantic analysis in natural language processing, enabling us to estimate the number of such hidden components. Moreover, we find that the bow-tie structure and the principal components are quite stable among those big players. This study can be a solid basis on which one can further investigate the temporal change of crypto flow, entry and exit of big players, and so forth.