Detecting Communities in Social Networks by Techniques of Clustering and Analysis of Communications

Analysis of social networks will result in detection of communities and interactions between individuals. A community consists of nodes in which density of links is high. Most of existingmethods presented for detecting communities, only consider the network’s graph without bringing the topics into account. In thisarticle a new method has been discussed which uses ontology and by applying clustering algorithms regarding the topics, clustersthe network. After that, by utilization of link analysis, detects communities in each cluster. Results show that this method has abetter precision in detecting communities and keeping relevantcommunications around one topic inside a community.

کلیدواژه ها:

Social networks ، Community detection ، analysis of links ، Text Mining ، Data Mining ، Ontology