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具有任意度分布的有向随机网络上雪崩的平均规模。

Mean size of avalanches on directed random networks with arbitrary degree distributions.

作者信息

Gleeson James P

机构信息

Department of Mathematics & Statistics, University of Limerick, Ireland.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 May;77(5 Pt 2):057101. doi: 10.1103/PhysRevE.77.057101. Epub 2008 May 19.

Abstract

The mean size of unordered binary avalanches on infinite directed random networks may be determined using the damage propagation function introduced by [B. Samuelsson and J. E. S. Socolar, Phys. Rev. E 74, 036113 (2006)]. The derivation of Samuelsson and Socolar explicitly assumes a Poisson distribution of out-degrees. It is shown here that the damage propagation function method may be used whenever the in-degree and out-degree of network nodes are independently distributed; in particular, it is not necessary that the out-degree distribution be Poisson. The general case of correlated in- and out-degrees is discussed and numerical simulations (on large finite networks) are compared with the theoretical predictions (for infinite networks).

摘要

无限有向随机网络上无序二元雪崩的平均规模可通过[B. 萨缪尔松和J. E. S. 索科拉尔,《物理评论E》74, 036113 (2006)]引入的损伤传播函数来确定。萨缪尔松和索科拉尔的推导明确假设出度服从泊松分布。本文表明,只要网络节点的入度和出度独立分布,损伤传播函数方法就可以使用;特别是,出度分布不必是泊松分布。讨论了入度和出度相关的一般情况,并将(大型有限网络上的)数值模拟与(无限网络的)理论预测进行了比较。

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