Cascades on correlated and modular random networks

被引:166
作者
Gleeson, James P. [1 ]
机构
[1] Univ Limerick, Dept Math & Stat, Limerick, Ireland
关键词
D O I
10.1103/PhysRevE.77.046117
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
An analytical approach to determining the mean avalanche size in a broad class of dynamical models on random networks is introduced. Previous results on percolation transitions and epidemic sizes are shown to be special cases of the method. The time-dependence of cascades and extensions to networks with community structure or degree-degree correlations are discussed. Analytical results for the rate of spread of innovations in a modular network and for the size of k cores in networks with degree-degree correlations are confirmed with numerical simulations.
引用
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页数:10
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