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Detecting Community Structure in Complex Networks Using K-means Algorithm

机译:使用K-means算法检测复杂网络中的社区结构

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There are considerable interest in algorithms for detecting community structure, which is fundamental for analyzing the relationship between structure and function in complex networks. In this paper, we propose Mapping Vertex into Vector (MVV) algorithm, which can convert complex networks nodes to vector, based on the algorithm, we propose K-means algorithm for detecting community structure based on MVV. Finally, experiments show that the algorithm presented in this paper is of high accuracy with good performance.
机译:对检测社区结构的算法有相当大的兴趣,这是分析复杂网络中结构和功能之间关系的基础。在本文中,我们提出了将顶点映射到矢量(MVV)算法,该算法可以将复杂的网络节点转换为矢量,在此基础上,提出了一种基于MVV的K-means算法来检测社区结构。最后,实验表明本文提出的算法具有较高的精度和良好的性能。

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