<div class="csl-bib-body">
<div class="csl-entry">Tovanich, N., Cazabet, R., & Coquidé, C. (2025, December 19). <i>Needles in the Haystack : Decoding On-Chain Behavior with Network Science and Data Mining</i> [Presentation]. Data Mining & Machine Learning (DM2L) Seminar at UMR5205 2025, Villeurbanne, France. https://doi.org/10.34726/11799</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/225824
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dc.identifier.uri
https://doi.org/10.34726/11799
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dc.description.abstract
We apply network science methodologies to address analytical challenges in blockchain and Decentralized Finance (DeFi). The pseudonymous nature of Bitcoin and the complex, multi-token interactions of Ethereum-based protocols require tools that go beyond traditional blockchain analysis. We present three network-based frameworks for understanding actor behavior and financial activities in these decentralized systems.
First, for Bitcoin, we introduce a money flow representation learning approach that encodes taint networks into graph embeddings to identify entities across multiple address clusters.
Second, we analyze DeFi activity using ego network motif mining, which extracts recurring structures from token transfer networks. This method can infer transaction methods (e.g., deposits, swaps, borrowing) and characterizes user behavior, even when labels are incomplete or noisy.
Third, we model multi-token interactions through a Multilayer Token Network that links cross-token flows. Using PageRank-CheiRank Trade Balance, we quantify accumulation versus dispersion strategies and uncover temporal shifts in trading behavior, illustrated through entities such as Alameda Research.
Together, these frameworks show how network topology, motifs, and multilayer flows transform raw blockchain data into interpretable insights on identity, function, and financial strategy.
en
dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.subject
Blockchain Analytics
en
dc.subject
Decentralized Finance
en
dc.subject
Network Science
en
dc.subject
Data Mining
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dc.subject
Distributed Ledger Technologies
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dc.title
Needles in the Haystack : Decoding On-Chain Behavior with Network Science and Data Mining
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Creative Commons Namensnennung - Nicht-kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International
de
dc.rights.license
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
en
dc.identifier.doi
10.34726/11799
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dc.type.category
Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
I5
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tuw.researchTopic.id
I1
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
20
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tuw.researchTopic.value
30
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.author.orcid
0000-0001-9680-9282
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tuw.author.orcid
0000-0002-9429-3865
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tuw.author.orcid
0000-0001-8546-6587
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dc.rights.identifier
CC BY-NC-SA 4.0
de
dc.rights.identifier
CC BY-NC-SA 4.0
en
tuw.event.name
Data Mining & Machine Learning (DM2L) Seminar at UMR5205 2025
en
tuw.event.startdate
19-12-2025
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tuw.event.enddate
19-12-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Villeurbanne
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tuw.event.country
FR
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tuw.event.institution
Laboratoire d'Informatique en Images et Systèmes d'Information
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tuw.event.presenter
Tovanich, Natkamon
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
90
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wb.sciencebranch.value
10
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item.openairecristype
http://purl.org/coar/resource_type/R60J-J5BD
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item.fulltext
with Fulltext
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item.openaccessfulltext
Open Access
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.grantfulltext
open
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item.openairetype
conference presentation
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item.cerifentitytype
Publications
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.orcid
0000-0001-9680-9282
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
