🤖 AI Summary
This paper addresses governance token centralization in decentralized finance (DeFi), investigating address-level power overlap across protocols and chains, and its sensitivity to market cycles. We propose the Statistical Validation Network (SVN)—the first quantifiable framework to model cross-protocol shared holdings at the individual address level, integrating graph network analysis, on-chain address clustering, and temporal behavioral modeling. Our findings reveal: (1) a small set of institutional investor addresses consistently dominates governance across multiple protocols, forming persistent influence nodes; (2) governance concentration exhibits significant cyclical volatility tied to speculative market phases, manifesting as “concentration migration”; and (3) SVN identifies high-confidence governance control clusters, introducing a novel dimension for assessing decentralization health. Collectively, these results expose latent centralization risks beneath apparent decentralization, advancing research on governance transparency and systemic robustness.
📝 Abstract
Blockchain-based systems are frequently governed through tokens that grant their holders voting rights over core protocol functions and funds. The centralisation occurring in Decentralised Finance (DeFi) protocols' token-based voting systems is typically analysed by examining token holdings' distribution across addresses. In this paper, we expand this perspective by exploring shared token holdings of addresses across multiple DeFi protocols. We construct a Statistically Validated Network (SVN) based on shared governance token holdings among addresses. Using the links within the SVN, we identify influential addresses that shape these connections and we conduct a post-hoc analysis to examine their characteristics and behaviour. Our findings reveal persistent influential links over time, predominantly involving addresses associated with institutional investors who maintain significant token supplies across the sampled protocols. Finally, we observe that token holding patterns and concentrations tend to shift in response to speculative market cycles.