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Beyond Formal Rules: Network Dynamics and Emergent Decentralization in the Ajna Finance Protocol

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Ethereum-based Decentralized Finance (DeFi) platforms are reshaping the financial industry by enabling users to borrow, lend, and trade without intermediaries through blockchain technology and smart contracts. This thesis investigates user behavior and network dynamics within the governance-minimized protocol Ajna Finance using Social Network Analysis (SNA). By modeling Ajna's transaction network as a graph and applying centrality metrics and community detection algorithms, the research evaluates how its "no governance" design impacts decentralization, liquidity distribution, and user interactions. The findings reveal that while transactional activity is concentrated around centralized exchanges, network influence is more evenly distributed among individual participants, aligning with Ajna's decentralization objectives. Distinct community clusters, ranging from protocol hubs to bridging nodes, highlight the network's emergent structure, balancing operational efficiency with governance minimization principles. These results demonstrate that Ajna's architecture fosters a novel form of decentralization, where governance functions shift to informal, structural properties. This study contributes a methodological framework for analyzing governance-minimized protocols, providing valuable insights for developers, regulators, and investors in decentralized ecosystems.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Digital Transformation

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Blockchain Social Network Analysis Ethereum Smart Contracts Decentralization Decentralized finance

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