Decoding Decentralized Finance Transactions through Ego Network Motif Mining - Ensai, Ecole Nationale de la Statistique et de l'Analyse de l'Information
Conference Papers Year : 2024

Decoding Decentralized Finance Transactions through Ego Network Motif Mining

Abstract

Decentralized Finance (DeFi) is increasingly studied and adopted for its potential to provide accessible and transparent financial services. Analyzing how investors use DeFi is important for reaching a better understanding of their usage and for regulation purposes. However, analyzing DeFi transactions is challenging due to often incomplete or inaccurate labeled data. This paper presents a method to extract ego network motifs from the token transfer network, capturing the transfer of tokens between users and smart contracts. Our results demonstrate that smart contract methods performing specific DeFi operations can be efficiently identified by analyzing these motifs while providing insights into account activities.
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Dates and versions

hal-04727895 , version 1 (09-10-2024)

Identifiers

  • HAL Id : hal-04727895 , version 1

Cite

Natkamon Tovanich, Célestin Coquidé, Rémy Cazabet. Decoding Decentralized Finance Transactions through Ego Network Motif Mining. The 13th International Conference on Complex Networks and their Applications, Dec 2024, Istanbul, Turkey. ⟨hal-04727895⟩
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