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Weighted label propagation algorithm for overlapping community detection

机译:重叠群落检测的加权标签传播算法

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Overlapping community detection algorithm research is one of hot topics in current social network analysis. In this paper, we applied the idea of weighted label propagation to overlapping community detection algorithm design, and propose a weighted label propagation algorithm (WLPA). Moreover, in order to evaluate the performance results of various overlapping community detection algorithms, we put forward a series of evaluation criteria based on error distribution curve of overlapping vertices. The experiment results show that the algorithm has a faster speed and better community detection results, and the evaluation criteria is in line with the inherent characteristics of the social network overlapping community structure.
机译:重叠的社区检测算法研究是当前社交网络分析中的热门话题之一。在本文中,我们将加权标签传播的思想应用于重叠的社区检测算法设计,并提出了一种加权标签传播算法(WLPA)。此外,为了评估各种重叠群落检测算法的性能结果,我们提出了一系列基于重叠顶点的误差分布曲线的评估标准。实验结果表明,该算法具有更快的速度和更好的社区检测结果,评价标准符合社交网络重叠群落结构的固有特征。

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