Community detecting has been a research topic in the complex network area.
社团划分算法是复杂网络研究中的一个热点问题。
参考来源 - 一种基于聚集系数的局部社团划分算法·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
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。
Detecting community structure is crucial for uncovering the links between structures and function in complex networks.
复杂网络中的社团发现对揭示网络的结构和功能之间的联系有着重要的意义。
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