Community detection in the collaborative Web

Lylia Abrouk (1) , David Gross-Amblard (1) , Nadine Cullot (1)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]

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.

Mots clés: Clustering; Data sharing; Information networks; User distance; Web community

Domaines: Web

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⟩