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SBP
2011
Springer

Tracking Communities in Dynamic Social Networks

8 years 1 months ago
Tracking Communities in Dynamic Social Networks
The study of communities in social networks has attracted considerable interest from many disciplines. Most studies have focused on static networks, and in doing so, have neglected the temporal dynamics of the networks and communities. This paper considers the problem of tracking communities over time in dynamic social networks. We propose a method for community tracking using an adaptive evolutionary clustering framework. We apply the method to reveal the temporal evolution of communities in two real data sets. In addition, we obtain a statistic that can be used for identifying change points in the network.
Kevin S. Xu, Mark Kliger, Alfred O. Hero
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where SBP
Authors Kevin S. Xu, Mark Kliger, Alfred O. Hero
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