SoK: Blockchain Decentralization
Luyao Zhang, Xinshi Ma, Yulin Liu

TL;DR
This paper systematically analyzes blockchain decentralization, proposing a comprehensive taxonomy, novel metrics, and methodological approaches to better understand and measure decentralization across multiple facets.
Contribution
It introduces a unified taxonomy, a new Shannon entropy-based decentralization index, and an open-source tool, advancing the scientific study of blockchain decentralization.
Findings
Decentralization levels tend to converge over time.
DeFi platforms show varying decentralization across application types.
Ethereum's fee model change significantly impacts transaction decentralization.
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…
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Taxonomy
TopicsBlockchain Technology Applications and Security · FinTech, Crowdfunding, Digital Finance
