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种子大小对随机网络上的级联有强烈影响。

Seed size strongly affects cascades on random networks.

作者信息

Gleeson James P, Cahalane Diarmuid J

机构信息

Applied Mathematics, University College Cork, Cork, Ireland.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2007 May;75(5 Pt 2):056103. doi: 10.1103/PhysRevE.75.056103. Epub 2007 May 3.

Abstract

The average avalanche size in the Watts model of threshold dynamics on random networks of arbitrary degree distribution is determined analytically. Existence criteria for global cascades are shown to depend sensitively on the size of the initial seed disturbance. The dependence of cascade size upon the mean degree z of the network is known to exhibit several transitions-these are typically continuous at low z and discontinuous at high z; here it is demonstrated that the low- z transition may in fact be discontinuous in certain parameter regimes. Connections between these results and the zero-temperature random-field Ising model on random graphs are discussed.

摘要

在任意度分布的随机网络上的阈值动力学的瓦茨模型中,平均雪崩大小通过解析方法确定。全局级联的存在标准被证明对初始种子扰动的大小敏感依赖。已知级联大小对网络平均度z的依赖表现出几种转变——这些转变在低z时通常是连续的,在高z时是不连续的;这里证明了在某些参数区域中,低z转变实际上可能是不连续的。讨论了这些结果与随机图上的零温度随机场伊辛模型之间的联系。

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