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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Leveraging Social Network Analysis with Topic Models and the Semantic Web
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
Social Network Analysis (SNA) and Web Mining (WM) techniques are being applied to study the structures of social networks in order to manage their dynamics and predict their evolution. This paper describes how we used Semantically-Interlinked Online Communities (SIOC) ontology to represent the (latent) semantic relationships between the members of a large community forum (about 2,500), Plexilandia. We extended SIOC, taking advantage of topic-based text mining and developed data mining algorithms that used our SIOC extensions to provide a better understanding of the social dynamics of the members of the Plexilandia community. This new understanding helped us to detect and discover the key members of Plexilandia successfuly.
Index Terms:
Semantic Web, SOIC Ontology Extension, Web Text Mining, Latent Dirichlet Allocation
Citation:
Sebasti´n A. Ríos, Felipe Aguilera, Francisco Bustos, Tope Omitola, Nigel Shadbolt, "Leveraging Social Network Analysis with Topic Models and the Semantic Web," wi-iat, vol. 3, pp.339-342, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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