Consensus Power Inequality: A Comparative Study of Blockchain Networks

2025-06-17

AI Summary

This study systematically assesses consensus power inequality across five major blockchain networks—Bitcoin, Ethereum, Cardano, Hedera, and Algorand—from 2022 to 2024, examining its implications for decentralization, security, and fairness. Methodologically, it introduces the first cross-chain unified quantitative framework integrating the Gini coefficient and Theil index, grounded in on-chain data mining, modeling of node/miner/pool/staking behaviors, and comparative architectural analysis. Key findings reveal that Ethereum’s transition to Proof-of-Stake (PoS) exacerbated power concentration; Algorand exhibits counterintuitive high centralization despite its design claims; and Hedera and Bitcoin demonstrate the most equitable power distributions. Economic barriers to participation, on-chain governance mechanisms, and network effects emerge as primary drivers of inequality. The work establishes a reproducible, comparable metrological paradigm for empirically evaluating blockchain decentralization, advancing rigorous, evidence-based assessment of distributed ledger systems.

Technology Category

• Game Theory and Economic Paradigms: Mechanism Design
• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Multiagent Systems: Mechanism Design

Application Category

• Security and Privacy: Blockchains and distributed ledgers
• Economics, Online Markets and Human Computation: Economic aspects of blockchain and cryptocurrencies
• Web Mining and Content Analysis: Web data provenance, reliability, and authenticity

Abstract

The distribution of consensus power is a cornerstone of decentralisation, influencing the security, resilience, and fairness of blockchain networks while ensuring equitable impact among participants. This study provides a rigorous evaluation of consensus power inequality across five prominent blockchain networks - Bitcoin, Ethereum, Cardano, Hedera, and Algorand - using data collected from January 2022 to July 2024. Leveraging established economic metrics, including the Gini coefficient and Theil index, the research quantitatively assesses how power is distributed among blockchain network participants. A robust dataset, capturing network-specific characteristics such as mining pools, staking patterns, and consensus nodes, forms the foundation of the analysis, enabling meaningful comparisons across diverse architectures. Through an in-depth comparative study, the paper identifies key disparities in consensus power distribution. Hedera and Bitcoin demonstrate more balanced power distribution, aligning closely with the principles of decentralisation. Ethereum and Cardano demonstrate moderate levels of inequality. However, contrary to expectations, Ethereum has become more concentrated following its transition to Proof-of-Stake. Meanwhile, Algorand shows a pronounced centralisation of power. Moreover, the findings highlight the structural and operational drivers of inequality, including economic barriers, governance models, and network effects, offering actionable insights for more equitable network design. This study establishes a methodological framework for evaluating blockchain consensus power inequality, emphasising the importance of targeted strategies to ensure fairer power distribution and enhancing the sustainability of decentralised systems. Future research will build on these findings by integrating additional metrics and examining the influence of emerging consensus mechanisms.

Problem

• Evaluates consensus power inequality in blockchain networks
• Compares power distribution across Bitcoin, Ethereum, Cardano, Hedera, Algorand
• Identifies drivers of inequality for equitable network design

Innovation

• Uses Gini coefficient and Theil index
• Analyzes five major blockchain networks
• Identifies structural drivers of inequality