网络的社团结构（The community structure of networks）表明 ，其中每个子网络的顶点都相互连接，而与其余了自然区别（a natural division）的网络连接很少。
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社团结构是反映网络结构整体性质的重要特征，网络的稳定性和健壮性在很大程度上取决于网络的社团结构特征。
Community structure not only reflects the important characteristics of overall structure properties of networks, but also it determines the stability and the robustness to a large extent.
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.
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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