@inproceedings{9ce90857a2404ab0985f64e10ea7107a,
title = "Inside Alameda Research: A Multi-token Network Analysis",
abstract = "We analyze the token transfer network on Ethereum, focusing on accounts associated with Alameda Research, a cryptocurrency trading firm implicated in the misuse of FTX customer funds. Using a multi-token network representation, we examine node centralities and the network backbone to identify critical accounts, tokens, and activity groups. The temporal evolution of Alameda accounts reveals shifts in token accumulation and distribution patterns leading up to its bankruptcy in November 2022. Through network analysis, our work offers insights into the activities and dynamics that shape the DeFi ecosystem.",
keywords = "Ethereum, blockchain data, cryptocurrency, decentralized finance, transaction network",
author = "C{\'e}lestin Coquid{\'e} and R{\'e}my Cazabet and Natkamon Tovanich",
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\_17",
language = "English",
isbn = "9783031824302",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "200--212",
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",
}