A New Community Detection Based on Agglomeration Mechanism
Community detection is an important and hot research branch of complex network. The initial communities arc essential for community detection, and the central nodes are the key points in the whole process. A few network measures are employed for node centrality, including betweenness and degrees centrality calculation. In our proposed algorithm both methods will be tested respectively for initial communities. Moreover, the agglomeration mechanism is employed for the proposed algorithm, and corresponding communities are achieved according to node membership function. Communities will be merged repeatedly based on the communities agglomeration rule until the defined number of communities is achieved. The proposed algorithm is tested on the three real network datasets, and it demonstrates the effectiveness and correctness of the algorithm.
Community Detection Complex Netwrok Clustering Agglomeration
Liji Lin Ting Luo Jianjie Fu Zhenyu Ji Domgming Xiao
College of Science and Technolgoy Ningbo University Ningbo, China 315000
国际会议
武汉
英文
352-355
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）