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Conference Papers Year : 2009

Semantic Social Network Analysis

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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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Dates and versions

inria-00378174 , version 1 (23-04-2009)

Identifiers

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

Cite

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