Semantic Social Network Analysis

Abstract : Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods from social network analysis (SNA) have been applied to such online networks. In this paper, we propose leveraging semantic web technologies to merge and exploit the best features of each domain. We present how to facilitate and enhance the analysis of online social networks, exploiting the power of semantic social network analysis.
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Communication dans un congrès
Web Science, Mar 2009, Athènes, Greece. 2009
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https://hal.inria.fr/inria-00378174
Contributeur : Fabien Gandon <>
Soumis le : jeudi 23 avril 2009 - 16:13:12
Dernière modification le : lundi 15 juin 2015 - 15:07:46
Document(s) archivé(s) le : jeudi 30 juin 2011 - 11:23:24

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  • HAL Id : inria-00378174, version 1
  • ARXIV : 0904.3701

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Guillaume Erétéo, Fabien Gandon, Olivier Corby, Michel Buffa. Semantic Social Network Analysis. Web Science, Mar 2009, Athènes, Greece. 2009. <inria-00378174>

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