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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Uncovering the overlapping community structure of complex networks by maximal cliques
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Uncovering the overlapping community structure of complex networks by maximal cliques

机译:通过最大集团揭示复杂网络的重叠社区结构

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摘要

In this paper, a unique algorithm is proposed to detect overlapping communities in the un-weighted and weighted networks with considerable accuracy. The maximal cliques, overlapping vertex, bridge vertex and isolated vertex are introduced. First, all the maximal cliques are extracted by the algorithm based on the deep and bread searching. Then two maximal cliques can be merged into a larger sub-graph by some given rules. In addition, the proposed algorithm successfully finds overlapping vertices and bridge vertices between communities. Experimental results using some real-world networks data show that the performance of the proposed algorithm is satisfactory.
机译:在本文中,提出了一种独特的算法来以相当高的精度检测未加权和加权网络中的重叠社区。介绍了最大集团,重叠顶点,桥顶点和孤立顶点。首先,基于深度和面包搜索,通过算法提取所有最大集团。然后,可以根据某些给定规则将两个最大集团合并为一个更大的子图。此外,该算法成功地找到了社区之间的重叠顶点和桥梁顶点。使用一些实际网络数据的实验结果表明,该算法的性能令人满意。

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