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20122023
most citedQualitative Comparison of Community Detection Algorithms

65 citations · 263 across the 17 of their papers we have counts for

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7 papers · 1 filter

cs.SI2021★ 18 cited

Graph embeddings for Abusive Language Detection

Noé Cecillon, Vincent Labatut, Richard Dufour +1

Abusive behaviors are common on online social networks. The increasing frequency of antisocial behaviors forces the hosts of online platforms to find new solutions to address this…

cs.SI2018

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.SI2017

Exploring the Evolution of Node Neighborhoods in Dynamic Networks

Günce Keziban Orman, Vincent Labatut, Ahmet Teoman Naskali

Dynamic Networks are a popular way of modeling and studying the behavior of evolving systems. However, their analysis constitutes a relatively recent subfield of Network Science, a…

cs.SI2015★ 11 cited

Interpreting communities based on the evolution of a dynamic attributed network

Günce Orman, Vincent Labatut, Marc Plantevit +1

Many methods have been proposed to detect communities, not only in plain, but also in attributed, directed or even dynamic complex networks. From the modeling point of view, to be…

cs.SI2015★ 11 cited

A community role approach to assess social capitalists visibility in the Twitter network

Nicolas Dugué, Vincent Labatut, Anthony Perez

In the context of Twitter, social capitalists are specific users trying to increase their number of followers and interactions by any means. These users are not healthy for the ser…

cs.SI2012★ 65 cited

Qualitative Comparison of Community Detection Algorithms

Günce Orman, Vincent Labatut, Hocine Cherifi

Community detection is a very active field in complex networks analysis, consisting in identifying groups of nodes more densely interconnected relatively to the rest of the network…