Semantic Social Network Analysis

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dc.creatorErétéo, Guillaume
dc.creatorGandon, Fabien
dc.creatorCorby, Olivier
dc.creatorBuffa, Michel
dc.date2009-04-23
dc.date.accessioned2026-07-07T13:07:58Z
dc.date.available2026-07-07T13:07:58Z
dc.descriptionSocial 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.
dc.descriptionpublished in Web Science (2009)
dc.identifierhttps://arxiv.org/abs/0904.3701
dc.identifierhttp://arxiv.org/abs/0904.3701
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/228270
dc.subjectArtificial Intelligence
dc.titleSemantic Social Network Analysis
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