Chongming Bao

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Community detection in complex networks can explore the information hidden in the exterior data relationships, understand the internal structure and function of complex system, and improve the efficiency of the system. So community detection has a high practical value. This paper adopts the idea of agglomerative method, proposes the concept of clustering(More)
Hierarchical agglomerative algorithm is widespread used in community detection of social networks. This paper explores an enhanced similarity which is based on interactive behavior of social members. The enhanced similarity expands the concept of similarity from vertexes to communities in the social network. Furthermore, the hierarchical agglomerative(More)
The algorithm of breadth first traversal in graph has been widely applied in community detection. Some community detection algorithms based on the breadth first traversal usually use the largest node the largest as the initial node. And these algorithms determine a node belongs to which community according to the number of the edges from the node to the(More)
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