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关于一种能够产生具有广泛指数范围的幂律出度分布的复杂网络增长模型。

On a growth model for complex networks capable of producing power-law out-degree distributions with wide range exponents.

作者信息

Esquivel-Gómez J, Arjona-Villicaña P D, Stevens-Navarro E, Pineda-Rico U, Balderas-Navarro R E, Acosta-Elias J

机构信息

1] Instituto de Investigación en Comunicación Óptica, Universidad Autónoma de San Luis Potosí (UASLP), México [2] Facultad de Ciencias, Universidad Autónoma de San Luis Potosí (UASLP), México.

Facultad de Ingenieria, Universidad Autónoma de San Luis Potosí (UASLP), México.

出版信息

Sci Rep. 2015 Mar 13;5:9067. doi: 10.1038/srep09067.

Abstract

The out-degree distribution is one of the most reported topological properties to characterize real complex networks. This property describes the probability that a node in the network has a particular number of outgoing links. It has been found that in many real complex networks the out-degree has a behavior similar to a power-law distribution, therefore some network growth models have been proposed to approximate this behavior. This paper introduces a new growth model that allows to produce out-degree distributions that decay as a power-law with an exponent in the range from 1 to ∞.

摘要

出度分布是用于表征真实复杂网络时报道最多的拓扑特性之一。此特性描述了网络中一个节点具有特定数量出边链接的概率。已发现,在许多真实复杂网络中,出度具有类似于幂律分布的行为,因此已提出一些网络增长模型来近似这种行为。本文介绍了一种新的增长模型,该模型能够生成指数在1到∞范围内呈幂律衰减的出度分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08d3/4358025/ea2541863888/srep09067-f1.jpg

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