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An Intimacy-Based Algorithm for Social Network Community Detection

机译:基于亲密度的社交网络社区检测算法

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Community detection is a crucial way to understand social network, and it reflects the structural characteristics of the network and the interesting features of community. We introduce the intimacy among nodes to detect community in social network. By reducing the degree of intimacy matrix between the communities, we approached the accurate community detection firstly. Then, in order to reduce the algorithm complexity, the intimacy-based algorithm for community merger is proposed. At last, compared with the existing algorithms in the theoretical and experimental respectively, we obtain that our algorithm drops the time complexity, reduces the iterations and cuts down the realization time based on the precise community detection.
机译:社区检测是理解社交网络的一种重要方式,它反映了网络的结构特征和社区的有趣特征。我们介绍了节点之间的亲密性,以检测社交网络中的社区。通过减少社区之间的亲密关系矩阵的程度,我们首先进行了准确的社区检测。然后,为降低算法复杂度,提出了一种基于亲密性的社区合并算法。最后,与理论和实验中已有的算法相比,基于精确的社区检测,我们的算法降低了时间复杂度,减少了迭代次数,缩短了实现时间。

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