A State of the Art on Social Network Analysis and its Applications on a Semantic Web

Guillaume Ereteo (1, 2, 3) , Michel Buffa (2) , Fabien Gandon (1) , Patrick Grohan (3) , Mylène Leitzelman (2) , Peter Sander (2)

1 Edelweiss - Exchanges, Documents, Extraction, Languages, Web, Ergonomics, Interactions, Semantics, Servers
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe KEWI
3 Orange Labs [Sophia Antipolis]

The increasingly popular web 2.0 sites provide the largest social network ever analyzed - users are now considered as plain web resources. Some researchers apply classical methods of social network analysis to such networks; others provide models to leverage the semantics of their representation. We present a state of the art of these two approaches and propose an architecture to merge and exploit the best features of each.

Mots clés: semantic web; social network analysis

Domaines: Web

Guillaume Ereteo, Michel Buffa, Fabien Gandon, Patrick Grohan, Mylène Leitzelman, et al.. A State of the Art on Social Network Analysis and its Applications on a Semantic Web. SDOW2008, 2008, Germany. ⟨hal-00562064⟩