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Statistical approach to calculation of number of network motifs

机译:计算网络图案数量的统计方法

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The development of efficient algorithms for the analysis of network motifs is a direction in Network Science, which is of great importance in the study of communication networks, social, biological and other networks. Detection and calculation of number of network motifs are closely related to the counting of typical isomorphic subgraphs in large graphs. The article proposes to accelerate this process by using the Monte Carlo method. Examples of counting of typical subgraphs with 3 and 4 vertices in the undirected graph are given. The proposed approach can also be extended to analysis of directed graphs.
机译:开发用于分析网络主题的有效算法是网络科学的一个方向,在通信网络,社会,生物和其他网络的研究中具有重要意义。网络主题数量的检测和计算与大型图中典型同构子图的计数密切相关。本文建议通过使用蒙特卡洛方法来加速此过程。给出了在无向图中具有3个和4个顶点的典型子图的计数示例。所提出的方法还可以扩展到有向图的分析。

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