A user interaction based community detection algorithm for online social networks

Himel Dev
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
Existing community detection techniques either rely on content analysis or only consider the underlying structure of the social network graph, while identifying communities in online social networks (OSNs). As a result, these approaches fail to identify active communities, i.e., communities based on actual interactions rather than mere friendship. To alleviate the limitations of existing approaches, we propose a novel solution of community detection in OSNs.
doi:10.1145/2588555.2612664 dblp:conf/sigmod/Dev14 fatcat:jlito43o5vaatjkmvh43qeczxu