Local Community Detection in Multilayer Networks

Abstract : The problem of local community detection in graphs refers to the identification of a community that is specific to a query node and relies on limited information about the network structure. Existing approaches for this problem are defined to work in dynamic network scenarios, however they are not designed to deal with complex real-world networks, in which multiple types of connectivity might be considered. In this work, we fill this gap in the literature by introducing the first framework for local community detection in multilayer networks (ML-LCD). We formalize the ML-LCD optimization problem and provide three definitions of the associated objective function, which correspond to different ways to incorporate within-layer and across-layer topo-logical features. We also exploit our framework to generate multilayer global community structures. We conduct an extensive experimentation using seven real-world multilayer networks, which also includes comparison with state-of-the-art methods for single-layer local community detection and for multilayer global community detection. Results show the significance of our proposed methods in discovering local communities over multiple layers, and also highlight their ability in producing global community structures that are better in modularity than those produced by native global community detection approaches .
Type de document :
Article dans une revue
Data Mining and Knowledge Discovery, Springer Verlag, 2017, 31 (5), pp.1444-1479. 〈10.1007/s10618-017-0525-y〉
Liste complète des métadonnées

Littérature citée [29 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01705312
Contributeur : Pascal Poncelet <>
Soumis le : vendredi 9 février 2018 - 12:18:05
Dernière modification le : mercredi 18 avril 2018 - 14:24:05

Fichier

DAMIPaper2017.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Local Community Detection in Multilayer Networks. Data Mining and Knowledge Discovery, Springer Verlag, 2017, 31 (5), pp.1444-1479. 〈10.1007/s10618-017-0525-y〉. 〈lirmm-01705312〉

Partager

Métriques

Consultations de la notice

91

Téléchargements de fichiers

20