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Leveraging Social Network Analysis with Topic Models and the Semantic Web
2011
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
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
doi:10.1109/wi-iat.2011.127
dblp:conf/iat/RiosABOS11
fatcat:3kqax3bt2jd3ppzmegyj53esue