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首页> 美国政府科技报告 >Detecting Statistically Significant Communities of Triangle Motifs in Undirected Networks.
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Detecting Statistically Significant Communities of Triangle Motifs in Undirected Networks.

机译：在无向网络中检测具有统计意义的三角形图形社区。

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The primary focus of this research was to extend the work of Perry et al. [6] by developing a statistical framework that supports the detection of triangle motif-based clusters in complex networks. The specific works accomplis hed over the 3-month period are as follows: 1. Developed a tractable hypothesis testing framework to as sess, a priori, the need for triangle motif-based clustering. 2. Developed an algorithm for clustering undirected networks, where the triangle configuration was used as the basis for forming clusters. 3. Developed a C++ implementation of the proposed clustering framework.

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