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The Evolution Of Centralisation on Cryptocurrency Platforms

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Listed:
  • Carlo Campajola
  • Raffaele Cristodaro
  • Francesco Maria De Collibus
  • Tao Yan
  • Nicolo' Vallarano
  • Claudio J. Tessone

Abstract

More than ten years ago the blockchain was acclaimed as the solution to overcome centralised trusted third parties for online payments. Through the years the crypto-movement changed and evolved, although decentralisation remained the core ideology and the necessary feature every new crypto-project should provide. In this paper we study the concept of centralisation in cryptocurrencies using a wide array of methodologies from the complex systems literature, on a comparative collection of blockchains, in order to define the many different levels a blockchain system may display (de-)centralisation and to question whether the present state of cryptocurrencies is, in a technological and economical sense, actually decentralised.

Suggested Citation

  • Carlo Campajola & Raffaele Cristodaro & Francesco Maria De Collibus & Tao Yan & Nicolo' Vallarano & Claudio J. Tessone, 2022. "The Evolution Of Centralisation on Cryptocurrency Platforms," Papers 2206.05081, arXiv.org, revised May 2023.
    • Handle: RePEc:arx:papers:2206.05081
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    References listed on IDEAS

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    1. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2016. "Pathways towards instability in financial networks," Papers 1602.05883, arXiv.org, revised Feb 2017.
    2. J.-J. Tseng & S.-P. Li & S.-C. Wang, 2010. "Experimental evidence for the interplay between individual wealth and transaction network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(1), pages 69-74, January.
    3. Carlo Campajola & Marco D'Errico & Claudio J. Tessone, 2022. "MicroVelocity: rethinking the Velocity of Money for digital currencies," Papers 2201.13416, arXiv.org, revised May 2023.
    4. Jie-Jun Tseng & Sai-Ping Li & Sun-Chong Wang, 2010. "Experimental evidence for the interplay between individual wealth and transaction network," Papers 1001.3731, arXiv.org.
    5. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    6. Alexandre Bovet & Carlo Campajola & Francesco Mottes & Valerio Restocchi & Nicol`o Vallarano & Tiziano Squartini & Claudio J. Tessone, 2019. "The evolving liaisons between the transaction networks of Bitcoin and its price dynamics," Papers 1907.03577, arXiv.org.
    7. Barucca, Paolo & Lillo, Fabrizio, 2016. "Disentangling bipartite and core-periphery structure in financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 244-253.
    8. James B. Davies & Anthony F. Shorrocks, 2018. "Comparing global inequality of income and wealth," WIDER Working Paper Series wp-2018-160, World Institute for Development Economic Research (UNU-WIDER).
    9. Igor Makarov & Antoinette Schoar, 2021. "Blockchain Analysis of the Bitcoin Market," NBER Working Papers 29396, National Bureau of Economic Research, Inc.
    10. Sirio Aramonteand & Wenqian Huang & Andreas Schrimpf, 2021. "DeFi risks and the decentralisation illusion," BIS Quarterly Review, Bank for International Settlements, December.
    11. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2017. "Pathways towards instability in financial networks," Nature Communications, Nature, vol. 8(1), pages 1-7, April.
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    Cited by:

    1. Lin, Jian-Hong & Marchese, Emiliano & Tessone, Claudio J. & Squartini, Tiziano, 2022. "The weighted Bitcoin Lightning Network," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).

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