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Communicability graph and community structures in complex networks

机译:复杂网络中的可通信性图和社区结构

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We use the concept of the network communicability [E. Estrada, N. Hatano, Communicability in complex networks, Phys. Rev. E 77 (2008) 036111] to define communities in a complex network. The communities are defined as the cliques of a "communicability graph", which has the same set of nodes as the complex network and links determined by the communicability function. Then, the problem of finding the network communities is transformed to an all-clique problem of the communicability graph. We discuss the efficiency of this algorithm of community detection. In addition, we extend here the concept of the communicability to account for the strength of the interactions between the nodes by using the concept of inverse temperature of the network. Finally, we develop an algorithm to manage the different degrees of overlapping between the communities in a complex network. We then analyze the USA airport network, for which we successfully detect two big communities of the eastern airports and of the western/central airports as well as two bridging central communities. In striking contrast, a well-known algorithm groups all but two of the continental airports into one community. (C) 2009 Elsevier Inc. All rights reserved.
机译:我们使用网络可通信性的概念[E. N. Hatano的Estrada,复杂网络中的可通信性,物理。 Rev. E 77(2008)036111]来定义复杂网络中的社区。社区被定义为“可通信性图”的派系,它具有与复杂网络相同的节点集,并由可通信性功能确定的链接。然后,将发现网络社区的问题转换为可通信性图的全问题。我们讨论了这种社区检测算法的效率。另外,我们在这里扩展可通信性的概念,以通过使用网络逆温度的概念来考虑节点之间的交互作用的强度。最后,我们开发了一种算法来管理复杂网络中社区之间不同程度的重叠。然后,我们分析了美国的机场网络,为此,我们成功地发现了东部机场和西部/中央机场的两个大社区以及两个桥接的中央社区。与之形成鲜明对比的是,一种著名的算法将除两个大陆机场以外的所有机场都归为一个社区。 (C)2009 Elsevier Inc.保留所有权利。

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