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复杂网络中的传染性

Communicability in complex networks.

作者信息

Estrada Ernesto, Hatano Naomichi

机构信息

Complex Systems Research Group, X-Rays Unit, RIAIDT, Edificio CACTUS, University of Santiago de Compostela, Santiago de Compostela, Spain.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Mar;77(3 Pt 2):036111. doi: 10.1103/PhysRevE.77.036111. Epub 2008 Mar 11.

Abstract

We propose a new measure of the communicability of a complex network, which is a broad generalization of the concept of the shortest path. According to the new measure, most of the real-world networks display the largest communicability between the most connected (popular) nodes of the network (assortative communicability). There are also several networks with the disassortative communicability, where the most "popular" nodes communicate very poorly to each other. Using this information we classify a diverse set of real-world complex systems into a small number of universality classes based on their structure-dynamic correlation. In addition, the new communicability measure is able to distinguish finer structures of networks, such as communities into which a network is divided. A community is unambiguously defined here as a set of nodes displaying larger communicability among them than to the rest of the nodes in the network.

摘要

我们提出了一种复杂网络可通信性的新度量,它是最短路径概念的广泛推广。根据这一新度量,大多数现实世界网络在网络中连接最多(最受欢迎)的节点之间显示出最大的可通信性( assortative可通信性)。也有一些具有disassortative可通信性的网络,其中最“受欢迎”的节点之间的通信非常差。利用这些信息,我们根据结构 - 动态相关性将各种现实世界的复杂系统分类为少量的普遍性类别。此外,新的可通信性度量能够区分网络的更精细结构,例如网络所划分的社区。这里明确将社区定义为一组节点,它们之间显示出比与网络中其余节点更大的可通信性。

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