Blockchain empowers a decentralized economy by enabling distributed trust in a peer-to-peer network. However, surprisingly, a widely accepted definition or measurement of decentralization is still lacking. We explore a systematization of knowledge (SoK) on blockchain decentralization by comprehensively analyzing existing studies in various aspects. First, we establish a taxonomy for analyzing blockchain decentralization in the five facets of consensus, network, governance, wealth, and transaction. We find a lack of research on the transaction aspects that closely characterize user behavior. Second, we apply Shannon entropy in information theory to propose a decentralization index for blockchain transactions. We show that our index intuitively measures levels of decentralization in peer-to-peer transactions by simulating blockchain token transfers. Third, we apply our index to empirically analyze the dynamics of DeFi token transfers by three methods of description, prediction, and causal inference. In the descriptive analysis, we observe that levels of decentralization converge inter-temporally, regardless of the initial levels. A comparative study across DeFi applications shows that exchange and lending are more decentralized than payment and derivatives across DeFi applications. Second, in the predictive analysis, we also discover that a greater return of Ether, the native coin of the Ethereum blockchain, predicts a greater transaction decentralization in stablecoin that include Ether as collateral. Third, in an event study of causal inference, we find the change of Ethereum Transaction Fee Mechanism to EIP-1559 significantly changes the decentralization level of DeFi transactions. Finally, we identify future research directions.
翻译:通过对同行网络的分散信任,封锁链使分权经济得以增强。然而,令人惊讶的是,仍然缺乏广泛接受的权力下放定义或计量。我们探索通过全面分析现有各方面研究,将分权链的知识系统化(SoK),对分权链进行系统化分析。首先,我们建立分类学,对共识、网络、治理、财富和交易的五个方面进行分权化分析。在描述分析中,我们发现对用户行为密切特征的交易方面缺乏研究。第二,我们在信息理论中应用香农(香农)香农(香农)来提出分权分权指数,以提出分权分权指数。我们显示,通过模拟分权链路转移,我们直截了分率地测量了分权链-15交易的分权化程度。第三,我们运用我们的指数,对分权链路分权转移的动态进行实证分析,用三种描述、预测和因果关系推导方法分析。在描述分析中,我们发现,分权分权层次(不论初始级别)的变化程度如何,在信息应用中,比较研究表明,我们之间的交换和借贷交易比分权化的分权化程度要大大分权分权化程度大于分权化,在Defie-E的分权化应用中,最后,在对分权交易的分权法的分权法的分权化的分权法的分权法的分权法的分权法的分权法的分权法的分级分析,最后,我们的分级法的分权法的分权法的分权法的分权法的分权法,在对分权法的分权机制的分权机制的分权机制的分权机制的分权法的分权机制的分权机制的分权分析中,最后,在第三,我们在对分权法的分级分析,在对分权的分级法的分权的分权的分权的分权的分权机制的分权法的分权的分权法的分权法的分权法的分级法的分级法的分级法的分级法的分级法的分级法的分级法。