doi:

DOI: 10.3724/SP.J.1249.2018.04413

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2018/35:4 PP.413-419

Overlapping community detection algorithm based on weak clique in multi-layer social networks


Abstract:
There are few overlapping community detection algorithms in the existing community detection algorithms and it is difficult to detect communities in small multi-layer social networks. In order to solve the above-mentioned problems, we propose an overlapping community detection algorithm based on the weak clique in multi-layer social works. The proposed algorithm detects the communities by detecting and merging the weak cliques in the network. The construction of weak clique considers the node degree and the number of links between the neighbor nodes. This method can obtain the finer-grained community structures and is suitable for both undirected and directed networks. The experimental results on real world networks show that this method can detect the overlapping community in the small multi-layer social networks effectively and is superior to the local community based community detection algorithm (LC-CDA).

Key words:computer network,multi-layer social network,weak clique,overlapping community,community detection,complex network

ReleaseDate:2018-07-26 10:51:03



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