A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
A user interaction based community detection algorithm for online social networks
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