129 citations · 896 across the 54 of their papers we have counts for
6 papers · 1 filter
Une nouvelle mesure pour l'évaluation des méthodes de détection de communautés
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…
Topological measures for the analysis of wireless sensor networks
Vincent Labatut, Ozgovde Atay
Concepts such as energy dependence, random deployment, dynamic topological update, self-organization, varying large number of nodes are among many factors that make WSNs a type of…
Accuracy Measures for the Comparison of Classifiers
Vincent Labatut, Hocine Cherifi
The selection of the best classification algorithm for a given dataset is a very widespread problem. It is also a complex one, in the sense it requires to make several important me…
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…
An Empirical Study of the Relation Between Community Structure and Transitivity
Günce Keziban Orman, Vincent Labatut, Hocine Cherifi
One of the most prominent properties in real-world networks is the presence of a community structure, i.e. dense and loosely interconnected groups of nodes called communities. In a…
Comparative Evaluation of Community Detection Algorithms: A Topological Approach
Günce Orman, Vincent Labatut, Hocine Cherifi
Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications. Many works inspired by different paradigms…