IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2311.06865.html
   My bibliography  Save this paper

Centralised or Decentralised? Data Analysis of Transaction Network of Hedera Hashgraph

Author

Listed:
  • Lucas Amherd
  • Sheng-Nan Li
  • Claudio J. Tessone

Abstract

An important virtue of distributed ledger technologies is their acclaimed higher level of decentralisation compared to traditional financial systems. Empirical literature, however, suggests that many systems tend towards centralisation as well. This study expands the current literature by offering a first-time, data-driven analysis of the degree of decentralisation of the platform Hedera Hashgraph, a public permissioned distributed ledger technology, employing data directly fetched from a network node. The results show a considerably higher amount of released supply compared to the release schedule and a growing number of daily active accounts. Also, Hedera Hashgraph exhibits a high centralisation of wealth and a shrinking core that acts as an intermediary in transactions for the rest of the network. However, the Nakamoto index and Theil index point to recent progress towards a more decentralised network.

Suggested Citation

  • Lucas Amherd & Sheng-Nan Li & Claudio J. Tessone, 2023. "Centralised or Decentralised? Data Analysis of Transaction Network of Hedera Hashgraph," Papers 2311.06865, arXiv.org.
  • Handle: RePEc:arx:papers:2311.06865
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2311.06865
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin William Cong & Ke Tang & Yanxin Wang & Xi Zhao, 2023. "Inclusion and Democratization Through Web3 and DeFi? Initial Evidence from the Ethereum Ecosystem," NBER Working Papers 30949, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schuler, Katrin & Nadler, Matthias & Schär, Fabian, 2023. "Contagion and loss redistribution in crypto asset markets," Economics Letters, Elsevier, vol. 231(C).
    2. Chemaya, Nir & Cong, Lin William & Joergensen, Emma & Liu, Dingyue & Zhang, Luyao, 2023. "Uniswap Daily Transaction Indices by Network," OSF Preprints ube2z, Center for Open Science.
    3. Nir Chemaya & Lin William Cong & Emma Jorgensen & Dingyue Liu & Luyao Zhang, 2023. "Uniswap Daily Transaction Indices by Network," Papers 2312.02660, arXiv.org.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2311.06865. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.