129 citations · 896 across the 54 of their papers we have counts for
5 papers · 2 filters
Une méthode pour caractériser les communautés des réseaux dynamiques à attributs
Günce Keziban Orman, Vincent Labatut, Marc Plantevit +1
Many complex systems are modeled through complex networks whose analysis reveals typical topological properties. Amongst those, the community structure is one of the most studied.…
Identification de rôles communautaires dans des réseaux orientés appliquée à Twitter
Nicolas Dugué, Vincent Labatut, Anthony Perez
The notion of community structure is particularly useful when analyzing complex networks, because it provides an intermediate level, compared to the more classic global (whole netw…
Towards realistic artificial benchmark for community detection algorithms evaluation
Günce Keziban Orman, Vincent Labatut, Hocine Cherifi
Assessing the partitioning performance of community detection algorithms is one of the most important issues in complex network analysis. Artificially generated networks are often…
Benefits of Semantics on Web Service Composition from a Complex Network Perspective
Chantal Cherifi, Vincent Labatut, Jean-François Santucci
The number of publicly available Web services (WS) is continuously growing, and in parallel, we are witnessing a rapid development in semantic-related web technologies. The interse…
Generalized Measures for the Evaluation of Community Detection Methods
Vincent Labatut
Community detection can be considered as a variant of cluster analysis applied to complex networks. For this reason, all existing studies have been using tools derived from this fi…