Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 502-507.doi: 10.11896/jsjkx.210600178

• Information Security • Previous Articles     Next Articles

Analysis of Bitcoin Entity Transaction Patterns

HE Xi1, HE Ke-tai1, WANG Jin-shan1, LIN Shen-wen2, YANG Jing-lin2, FENG Yu-chao1   

  1. 1 School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China
    2 National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100000,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:HE Xi,born in 1996,postgraduate.Her main research interests include blockchain technology and Bitcoin anti-anonymity.
    HE Ke-tai,born in 1971,Ph.D,professor.His main research interests include smart logistics and blockchain technology.
  • Supported by:
    National Key Research and Development Program of China(2019QY(Y)0601).

Abstract: Since the Bitcoin system went online,people have conducted decentralized transfer transactions through Bitcoin addresses,which greatly increased the convenience of transactions,and the transaction records generated by peer-to-peer transactions have always been the focus of research.Due to the huge scale of the Bitcoin transaction network,it takes a long time and huge computing power to explore the entire network directly,and it is also not conducive to observing the internal transaction pattern of the entity.Bitcoin transaction records are permanently stored in the blockchain ledger,and the entity behavior and internal transaction pattern of Bitcoin entity service can be further explored by constructing and analyzing the transaction network.By improving the traditional label propagation algorithm,a label propagation algorithm based on central nodes is proposed to divide the communities of the Bitcoin entity transaction network,and the transaction patterns of the core communities are analyzed,such as Exchanges and mining pools.This paper summarizes two kinds of transaction patterns which are easy to understand and conform to reality.The experimental results prove the differences in transaction patterns within different services,and the graphical display improves the readability of the Bitcoin transaction network.

Key words: Bitcoin, Community detection, Complex network, Label propagation, Transaction pattern

CLC Number: 

  • TP393.02
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