activity
20182024
most citedCharacterizing and comparing external measures for the assessment of cluster analysis and community detection

29 citations · 63 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2024★ 3 cited

Whole-Graph Representation Learning For the Classification of Signed Networks

Noé Cecillon, Vincent Labatut, Richard Dufour +1

Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-d…

cs.IR2023★ 7 cited

An evaluation framework for comparing epidemic intelligence systems

Nejat Arinik, Roberto Interdonato, Mathieu Roche +1

In the context of Epidemic Intelligence, many Event-Based Surveillance (EBS) systems have been proposed in the literature to promote the early identification and characterization o…

math.OC2023★ 2 cited

Efficient Enumeration of the Optimal Solutions to the Correlation Clustering problem

Nejat Arinik, Vincent Labatut, Rosa Figueiredo

According to the structural balance theory, a signed graph is considered structurally balanced when it can be partitioned into a number of modules such that positive and negative e…

cs.LG2021★ 29 cited

Characterizing and comparing external measures for the assessment of cluster analysis and community detection

Nejat Arinik, Vincent Labatut, Rosa Figueiredo

In the context of cluster analysis and graph partitioning, many external evaluation measures have been proposed in the literature to compare two partitions of the same set. This ma…

cs.RO2020★ 4 cited

Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs

Nejat Arinik, Rosa Figueiredo, Vincent Labatut

In order to study real-world systems, many applied works model them through signed graphs, i.e. graphs whose edges are labeled as either positive or negative. Such a graph is consi…

cs.SI2018★ 4 cited

Multiple Partitioning of Multiplex Signed Networks: Application to European Parliament Votes

Nejat Arinik, Rosa Figueiredo, Vincent Labatut

For more than a decade, graphs have been used to model the voting behavior taking place in parliaments. However, the methods described in the literature suffer from several limitat…

cs.SI2018★ 14 cited

Signed Graph Analysis for the Interpretation of Voting Behavior

Nejat Arinik, Rosa Figueiredo, Vincent Labatut

In a signed graph, each link is labeled with either a positive or a negative sign. This is particularly appropriate to model polarized systems. Such a graph can be characterized th…