471 citations
- Lyon 1 UniversitéFR95 papers
- Centre National de la Recherche ScientifiqueFR92 papers
- Institut National des Sciences Appliquées de LyonFR59 papers
- École Centrale de LyonFR19 papers
- Institut national de recherche en sciences et technologies du numériqueFR18 papers
- Université de LyonFR16 papers
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- Laboratoire d'Informatique, de Modélisation et d'Optimisation des SystèmesFR10 papers
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10 papers · 1 filter
Longitudinal Modularity, a Modularity for Link Streams
Victor Brabant, Yasaman Asgari, Pierre Borgnat +2
Temporal networks are commonly used to model real-life phenomena. When these phenomena represent interactions and are captured at a fine-grained temporal resolution, they are model…
Decoding Decentralized Finance Transactions through Ego Network Motif Mining
Natkamon Tovanich, Célestin Coquidé, Rémy Cazabet
Decentralized Finance (DeFi) is increasingly studied and adopted for its potential to provide accessible and transparent financial services. Analyzing how investors use DeFi is imp…
Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain
Rafael Ramos Tubino, Remy Cazabet, Natkamon Tovanich +1
We study the real economic activity in the Bitcoin blockchain that involves transactions from/to retail users rather than between organizations such as marketplaces, exchanges, or…
Quantitative Evaluation of Snapshot Graphs for the Analysis of Temporal Networks
Alessandro Chiappori, Rémy Cazabet
One of the most common approaches to the analysis of dynamic networks is through time-window aggregation. The resulting representation is a sequence of static networks, i.e. the sn…
Edge based stochastic block model statistical inference
Louis Duvivier, Rémy Cazabet, Céline Robardet
Community detection in graphs often relies on ad hoc algorithms with no clear specification about the node partition they define as the best, which leads to uninterpretable communi…
Minimum entropy stochastic block models neglect edge distribution heterogeneity
Louis Duvivier, Rémy Cazabet, Céline Robardet
The statistical inference of stochastic block models as emerged as a mathematicaly principled method for identifying communities inside networks. Its objective is to find the node…