社团结构(Community structure) 是将网络中的节点分成组,组内节点连接稠密,组间 节点连接相对稀疏睁”,每个组称之为一个社团。
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Those keep pace with“community structure”in complex network.
而这与复杂网中的“社团结构”是一致的。
参考来源 - 基于社团结构的知识网建模与分析One of statistical characteristics in complex networks is a community structure. Detecting communities in networks has aroused great interest among researches in recent years.
社团结构是众多复杂网络的统计特性之一,挖掘网络中存在的社团结构日益受到人们的普遍关注。
参考来源 - 基于节点相似度的网络社团检测算法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
基于复杂网络社团结构理论,提出了一种同调等值的新算法。
Based on the community structure theory of complex network, a new coherency-based dynamic equivalence algorithm is proposed.
目前人们已经提出了很多算法用于寻找复杂网络中存在的社团结构。
Finding community structure is a very popular issue in researches of complex networks.
基于改进的SNN相似度矩阵与谱平分法,提出了一种寻找复杂网络社团结构的算法。
Based on the improved SNN similarity matrix and spectral bisection method, this paper proposed a new algorithm for detecting the community structure in complex networks.
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