Analysis of a Real Online Social Network using Semantic Web Frameworks

Guillaume Ereteo 1, 2, 3 Michel Buffa 2 Fabien Gandon 1 Olivier Corby 1
1 Edelweiss - Exchanges, Documents, Extraction, Languages, Web, Ergonomics, Interactions, Semantics, Servers
CRISAM - Inria Sophia Antipolis - Méditerranée
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe KEWI
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
3 Orange Labs [Sophia Antipolis]
Abstract : Social Network Analysis (SNA) provides graph algorithms to characterize the structure of social networks, strategic positions in these networks, specific sub-networks and decompositions of people and activities. Online social platforms like Facebook form huge social networks, enabling people to connect, interact and share their online activities across several social applications. We extended SNA operators using semantic web frameworks to include the semantics of these graph-based representations when analyzing such social networks and to deal with the diversity of their relations and interactions. We present here the results of this approach when it was used to analyze a real social network with 60,000 users connecting, interacting and sharing content.
Keywords : semantic web social network analysis social web
Type de document :
Communication dans un congrès
ISWC 2009, Oct 2009, Washington, United States. 5823/2009, pp.180-195, 2009, 〈10.1007/978-3-642-04930-9_12〉
Domaine :
Liste complète des métadonnées

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Contributeur : Guillaume Ereteo <>
Soumis le : mercredi 2 février 2011 - 16:12:42
Dernière modification le : lundi 5 novembre 2018 - 15:52:09
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Guillaume Ereteo, Michel Buffa, Fabien Gandon, Olivier Corby. Analysis of a Real Online Social Network using Semantic Web Frameworks. ISWC 2009, Oct 2009, Washington, United States. 5823/2009, pp.180-195, 2009, 〈10.1007/978-3-642-04930-9_12〉. 〈hal-00562035〉

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