Complex network analysis of the bitcoin blockchain network

Bishenghui Tao, Ivan Wang Hei Ho, Hong Ning Dai

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

10 Citations (Scopus)

Abstract

In this paper, we conduct a complex-network analysis of the Bitcoin network. In particular, we design a new sampling method namely random walk with flying-back (RWFB) to conduct effective data sampling. We then conduct a comprehensive analysis of the Bitcoin network in terms of the degree distribution, clustering coefficient, the shortest path length, the assortativity, and the rich-club coefficient. There are several important observations from the Bitcoin network, such as small-world phenomenon and non-rich-club effect. This work brings up an in-depth understanding of the current Bitcoin blockchain network and offers implications for future directions in malicious activity and fraud detection in cryptocurrency blockchain networks.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Print)9781728192017
DOIs
Publication statusPublished - May 2021
Externally publishedYes
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: 22 May 202128 May 2021
https://ieeexplore.ieee.org/xpl/conhome/9401028/proceeding

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)2158-1525

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period22/05/2128/05/21
Internet address

Scopus Subject Areas

  • Electrical and Electronic Engineering

User-Defined Keywords

  • Bitcoin
  • Blockchain
  • Complex network
  • Network analysis

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