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Community Clustering Algorithm in Complex Networks Based on Microcommunity Fusion

机译:基于微社区融合的复杂网络社区聚类算法

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With the further research on physical meaning and digital features of the community structure in complex networks in recent years, the improvement of effectiveness and efficiency of the community mining algorithms in complex networks has become an important subject in this area. This paper puts forward a concept of the microcommunity and gets final mining results of communities through fusing different microcommunities. This paper starts with the basic definition of the network community and appliesExpansionto the microcommunity clustering which provides prerequisites for the microcommunity fusion. The proposed algorithm is more efficient andhas higher solution qualitycompared with other similar algorithms through the analysis of test results based on network data set.
机译:近年来,随着对复杂网络社区结构的物理意义和数字特征的进一步研究,复杂网络社区挖掘算法的有效性和效率的提高已成为该领域的重要课题。本文提出了微社区的概念,并通过融合不同的微社区来获得社区的最终挖掘结果。本文从网络社区的基本定义入手,将扩展应用于微社区聚类,为微社区融合提供了前提。通过基于网络数据集的测试结果分析,与其他类似算法相比,该算法效率更高,解决方案质量更高。

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