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An algorithm for overlapping community detection in complex network

机译:复杂网络中重叠社区检测算法

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摘要

In complex network, overlapping community structure is a more actual description of the structure of social networks. So, it is significant to analyze its overlapping community structure. After integrating the existing overlapping community detection algorithms and information theory, we summarize a definition of community from the perspective of information theory, then we present an algorithm to detect the overlapping community structure in complex networks after having learnt from the information dissemination theory. Experimental results illustrate that compared with the traditional definition of community and detection algorithms, the community that is detected by our algorithm have a more accurate physical meaning, meanwhile, this algorithm has a lower time complexity too.
机译:在复杂的网络中,重叠的社区结构是对社交网络结构的更实际的描述。因此,分析其重叠的社区结构具有重要意义。在将现有的重叠社区检测算法与信息理论相结合的基础上,从信息论的角度总结了一个社区的定义,然后在借鉴信息传播理论的基础上,提出了一种检测复杂网络中重叠社区结构的算法。实验结果表明,与传统的社区和检测算法定义相比,本文算法检测到的社区具有更准确的物理意义,同时该算法的时间复杂度也较低。

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