Journals Proceedings

International Journal of Advances in Computer Science and Its Applications

Relation and Attribute Fusion to Detect Communities of Online Social Networks



Community detection is a vital research area for online social networks. Since there is not a formal context in users` profiles, a new data source of user`s attributes is extracted from online social networks. Then in this paper a novel algorithm is investigated. Both attributes and relations of users are used in the proposed algorithm; therefor e communities can be detected through users’ similar characteristics or users common relationships. The experiments show that the accuracy of the algorithm is comparable to other well-known algorithms; moreover detected communities are self-descripted through the mode of each community members

No fo Author(s) : 2
Page(s) : 301 - 305
Electronic ISSN : 2250 - 3765
Volume 5 : Issue 2
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