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- W2478238045 abstract "Community structure can be observed in many natural, biological and social networks. Studies sug- gest that these communities may have organized in a hi- erarchical manner while some communities overlap with others. This paper introduces an algorithm to detect such hierarchical and overlapping community structures in net- works based on the concept of maximal cliques. It intro- duces an alternate modularity for evaluating overlapping community structures. Unlike existing algorithms for de- tecting hierarchical and overlapping community structures, the new algorithm is free of parameter tuning and random seeds. Experiments conducted on two real-world networks show that this algorithm is capable of providing satisfac- tory and consistent results." @default.
- W2478238045 created "2016-08-23" @default.
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- W2478238045 date "2014-01-01" @default.
- W2478238045 modified "2023-09-22" @default.
- W2478238045 title "Detecting Hierarchical and Overlapping Community Structures in Networks" @default.
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