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Unfolding identity of financial institutions in bitcoin blockchain by weekly pattern of network flows

Author

Listed:
  • Rubaiyat Islam

    (University of Hyogo)

  • Yoshi Fujiwara

    (University of Hyogo)

  • Shinya Kawata

    (University of Hyogo
    SCIO THINK LLC.)

  • Hiwon Yoon

    (CMD Laboratory Inc.)

Abstract

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.

Suggested Citation

  • Rubaiyat Islam & Yoshi Fujiwara & Shinya Kawata & Hiwon Yoon, 2021. "Unfolding identity of financial institutions in bitcoin blockchain by weekly pattern of network flows," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 131-157, April.
    • Handle: RePEc:spr:eaiere:v:18:y:2021:i:1:d:10.1007_s40844-020-00184-z
    DOI: 10.1007/s40844-020-00184-z
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    References listed on IDEAS

    as
    1. Rubaiyat Islam & Yoshi Fujiwara & Shinya Kawata & Hiwon Yoon, 2019. "Analyzing outliers activity from the time-series transaction pattern of bitcoin blockchain," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 239-257, June.
    2. D'aniel Kondor & M'arton P'osfai & Istv'an Csabai & G'abor Vattay, 2013. "Do the rich get richer? An empirical analysis of the BitCoin transaction network," Papers 1308.3892, arXiv.org, revised Mar 2014.
    3. Dániel Kondor & Márton Pósfai & István Csabai & Gábor Vattay, 2014. "Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-10, February.
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    More about this item

    Keywords

    Bitcoin; Blockchain; Money flow;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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