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| Hierarchical community structure is an important structure in complex networks, where nodes divide into groups that further subdivide into groups of groups, such as the leader-follower in social network. In this paper, we review three kinds of hierarchical community detection methods. First, hierarchical clustering methods are intuitive to detect the hierarchy structure. Second, local expansion methods obtain hierarhcy by tune a resolution parameter. Third, a most general method is to contruct the super network for normal community detection methods. Finally, we show that hierarchical community structures can give us deep understanding of networks. |
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| Keywords:community detection, hierarchical community structure, social network, cluster |
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