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20112023
most citedComparative Evaluation of Community Detection Algorithms: A Topological Approach

129 citations · 896 across the 54 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.IR2017★ 19 cited

Graph-based Features for Automatic Online Abuse Detection

Etienne Papegnies, Vincent Labatut, Richard Dufour +1

While online communities have become increasingly important over the years, the moderation of user-generated content is still performed mostly manually. Automating this task is an…

cs.DM2017★ 3 cited

Continuous Average Straightness in Spatial Graphs

Vincent Labatut

The Straightness is a measure designed to characterize a pair of vertices in a spatial graph. It is defined as the ratio of the Euclidean distance to the graph distance between the…

cs.SI2017★ 12 cited

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.SI2017★ 4 cited

Community Structure Characterization

Vincent Labatut, Günce Keziban Orman

This entry discusses the problem of describing some communities identified in a complex network of interest, in a way allowing to interpret them. We suppose the community structure…

cs.IR2017★ 20 cited

Impact Of Content Features For Automatic Online Abuse Detection

Etienne Papegnies, Vincent Labatut, Richard Dufour +1

Online communities have gained considerable importance in recent years due to the increasing number of people connected to the Internet. Moderating user content in online communiti…

cs.SI2017★ 12 cited

Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach

Alexandre Reiffers-Masson, Vincent Labatut

Most people simultaneously belong to several distinct social networks, in which their relations can be different. They have opinions about certain topics, which they share and spre…