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A note on the Estrada-Hatano communicability algorithm for detecting community structure in complex networks

机译:关于在复杂网络中检测社区结构的Estrada-Hatano连通性算法的说明

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Recently Estrada and Hatano proposed an algorithm for the detection of community structure in complex networks using the concept of network communicability. Here we amend this algorithm by eliminating the subjectivity of choosing degree of overlapping and including an additional check of the fitness of detected communities. We show that this amendment can detect some communities which remain undetected by Estrada and Hatano's algorithm. For instance, let G(p, q) be a graph obtained from two cliques, K_p and K_q(p ≥ q ≥ 3), joined by a single edge. It is apparent that this graph contains two communities, namely the two cliques. However, Estrada and Hatano's algorithm detects only K_q as a community when p is sufficiently larger than q. Our algorithm correctly detects both communities. Also, our method also finds the correct community structure in one of the classic benchmark networks, the Zachary karate club.
机译:最近,Estrada和Hatano提出了一种使用网络可通信性概念检测复杂网络中社区结构的算法。在这里,我们通过消除选择重叠程度的主观性并包括对检测到的社区的适应性进行附加检查来修正此算法。我们表明,此修订可以检测到一些Estrada和Hatano算法仍未发现的社区。例如,让G(p,q)是从两个线索K_p和K_q(p≥q≥3)并通过一条边连接而成的图。显然,此图包含两个社区,即两个集团。但是,当p足够大于q时,Estrada和Hatano的算法仅将K_q检测为社区。我们的算法可以正确检测两个社区。此外,我们的方法还可以在经典基准网络之一Zachary空手道俱乐部中找到正确的社区结构。

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