@inproceedings{398710cdb4e043f0989deac855bf5409,
title = "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.",
keywords = "blockchain data, decentralized finance, ego network, graph mining, network motifs, transaction network",
author = "Natkamon Tovanich and C{\'e}lestin Coquid{\'e} and R{\'e}my Cazabet",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 13th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2024 ; Conference date: 10-12-2024 Through 12-12-2024",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-3-031-82431-9\_13",
language = "English",
isbn = "9783031824302",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "150--162",
editor = "Hocine Cherifi and Murat Donduran and Rocha, \{Luis M.\} and Chantal Cherifi and Onur Varol",
booktitle = "Complex Networks and Their Applications XIII - Proceedings of The 13th International Conference on Complex Networks and Their Applications",
}