Community detection in the collaborative Web - Université de Bourgogne Accéder directement au contenu
Article Dans Une Revue International Journal of Managing Information Technology (IJMIT) Année : 2010

Community detection in the collaborative Web

Résumé

Most of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit Web communities and present an approach to automatically detect them, based on the user's resources manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time. Moreover, new resources are dynamically labelled according to who is manipulating them. Our proposal relies on the fuzzy K-means clustering method and is assessed on large movie data sets.

Domaines

Web
Fichier principal
Vignette du fichier
IJIMIT-abrouk_gross_al_final.pdf (1.51 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00603165 , version 1 (24-06-2011)

Identifiants

Citer

Lylia Abrouk, David Gross-Amblard, Nadine Cullot. Community detection in the collaborative Web. International Journal of Managing Information Technology (IJMIT), 2010, 2 (4), pp.1-9. ⟨10.5121/ijmit.2010.2401⟩. ⟨hal-00603165⟩
144 Consultations
448 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More