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Research and Evaluation on Modularity Modeling in Community Detecting of Complex Network Based on Information Entropy

机译:基于信息熵的社区检测模块化建模研究与评价

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Detecting the community of complex networks became the hot research fields of Graph Ming in recent years and most community detecting methods current try to find correct community structure basing on optimization of Modularity Q.In this article, the author constructs a new theoretic model of Q based on information entropy by simulation and evaluation on some classic dataset and comparison with the classic
机译:检测复杂网络的社区成为图表明细的热门研究领域,大多数社区检测方法当前试图找到正确的社区结构基于模块化的优化Q.IN本文,构建了一种基于Q的新理论模型。一些经典数据集的仿真和评估信息熵与经典比较

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