Community Structure Enhanced Community Detection Algorithm Based on Graph Compression

Shuxia Ren, Qinghao Wang
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Abstract

Community detection is the important tools which can discovering useful information hidden in complex networks. Most existing community detection algorithms have low detection accuracy on complex networks which community structures are unclear. In order to solve this problem, this paper proposes a community detection algorithm (CSEP). The algorithm first reduces the network size with graph compression, and then increases or deletes links between nodes to enhance the community structure in the network.
基于图压缩的社团结构增强社团检测算法
社区检测是发现隐藏在复杂网络中的有用信息的重要工具。现有的社区检测算法在社区结构不明确的复杂网络中检测精度较低。为了解决这一问题,本文提出了一种社区检测算法(CSEP)。该算法首先通过图压缩减小网络规模,然后通过增加或删除节点之间的链路来增强网络中的社区结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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