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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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Submitted on : Thursday, April 23, 2009 - 4:13:12 PM
Last modification on : Tuesday, December 7, 2021 - 4:10:10 PM
Long-term archiving on: : Thursday, June 30, 2011 - 11:23:24 AM


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



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



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