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Entropy 2013, 15(12), 5419-5438; doi:10.3390/e15125419

Core-Based Dynamic Community Detection in Mobile Social Networks

* ,
Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, Hunan, China
* Author to whom correspondence should be addressed.
Received: 12 September 2013 / Revised: 21 November 2013 / Accepted: 21 November 2013 / Published: 6 December 2013
(This article belongs to the Special Issue Social Networks and Information Diffusion)
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The topic of community detection in social networks has attracted a lot of attention in recent years. Existing methods always depict the relationship of two nodes using the snapshot of the network, but these snapshots cannot reveal the real relationships, especially when the connection history among nodes is considered. The problem of detecting the stable community in mobile social networks has been studied in this paper. Community cores are considered as stable subsets of the network in previous work. Based on these observations, this paper divides all nodes into a few of communities due to the community cores. Meanwhile, communities can be tracked through incremental computing. Experimental results based on real-world social networks demonstrate that our proposed method performs better than the well-known static community detection algorithm in mobile social networks.
Keywords: mobile social network; community core; dynamic community detection mobile social network; community core; dynamic community detection
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Xu, H.; Hu, Y.; Wang, Z.; Ma, J.; Xiao, W. Core-Based Dynamic Community Detection in Mobile Social Networks. Entropy 2013, 15, 5419-5438.

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