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SoK: Blockchain Decentralization

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  • Luyao Zhang
  • Xinshi Ma
  • Yulin Liu

Abstract

Blockchain introduces decentralized trust in peer-to-peer networks, advancing security and democratizing systems. Yet, a unified definition for decentralization remains elusive. Our Systematization of Knowledge (SoK) seeks to bridge this gap, emphasizing quantification and methodological coherence. We've formulated a taxonomy defining blockchain decentralization across five facets: consensus, network, governance, wealth, and transaction. Despite the prevalent focus on consensus decentralization, our novel index, based on Shannon entropy, provides comprehensive insights. Moreover, we delve into alternative metrics like the Gini and Nakamoto Coefficients and the Herfindahl-Hirschman Index (HHI), supplemented by an open-source Python tool on GitHub. In terms of methodology, blockchain research has often bypassed stringent scientific methods. By employing descriptive, predictive, and causal methods, our study showcases the potential of structured research in blockchain. Descriptively, we observe a trend of converging decentralization levels over time. Examining DeFi platforms reveals exchange and lending applications as more decentralized than their payment and derivatives counterparts. Predictively, there's a notable correlation between Ether's returns and transaction decentralization in Ether-backed stablecoins. Causally, Ethereum's transition to the EIP-1559 transaction fee model has a profound impact on DeFi transaction decentralization. To conclude, our work outlines directions for blockchain research, emphasizing the delicate balance among decentralization facets, fostering long-term decentralization, and the ties between decentralization, security, privacy, and efficiency. We end by spotlighting challenges in grasping blockchain decentralization intricacies.

Suggested Citation

  • Luyao Zhang & Xinshi Ma & Yulin Liu, 2022. "SoK: Blockchain Decentralization," Papers 2205.04256, arXiv.org, revised Aug 2023.
  • Handle: RePEc:arx:papers:2205.04256
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    References listed on IDEAS

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    1. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    2. John M. Griffin & Amin Shams, 2020. "Is Bitcoin Really Untethered?," Journal of Finance, American Finance Association, vol. 75(4), pages 1913-1964, August.
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    Cited by:

    1. Ma, Wentao & Li, Wanyun, 2024. "Blockchain technology and internal control effectiveness," Finance Research Letters, Elsevier, vol. 64(C).
    2. Yihang Fu & Mingwei Jing & Jiaolun Zhou & Peilin Wu & Ye Wang & Luyao Zhang & Chuang Hu, 2024. "Quantifying the Blockchain Trilemma: A Comparative Analysis of Algorand, Ethereum 2.0, and Beyond," Papers 2407.14335, arXiv.org.
    3. Yutong Quan & Xintong Wu & Wanlin Deng & Luyao Zhang, 2023. "Decoding Social Sentiment in DAO: A Comparative Analysis of Blockchain Governance Communities," Papers 2311.14676, arXiv.org, revised May 2024.
    4. Quan, Yutong & Wu, Xintong & Deng, Wanlin & Zhang, Luyao, 2023. "Decoding Social Sentiment in DAO: A Comparative Analysis of Blockchain Governance Communities," OSF Preprints bq6tu, Center for Open Science.

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