activity
20102024
most citedCharacterizing the speed and paths of shared bicycles in Lyon

200 citations · 263 across the 14 of their papers we have counts for

collaborators
Showing cs.SIShow all

7 papers · 1 filter

cs.SI2023

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…

cs.SI2021★ 2 cited

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…

cs.SI2021

Graph space: using both geometric and probabilistic structure to evaluate statistical graph models

Louis Duvivier, Rémy Cazabet, Céline Robardet

Statistical graph models aim at modeling graphs as random realization among a set of possible graphs. One issue is to evaluate whether or not a graph is likely to have been generat…

cs.SI2019★ 3 cited

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…

cs.SI2019

Mining Subjectively Interesting Attributed Subgraphs

Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt +3

Community detection in graphs, data clustering, and local pattern mining are three mature fields of data mining and machine learning. In recent years, attributed subgraph mining is…

cs.SI2015★ 3 cited

Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures

Ronan Hamon, Pierre Borgnat, Patrick Flandrin +1

We develop a framework to track the structure of temporal networks with a signal processing approach. The method is based on the duality between networks and signals using a multid…