Cascading Dynamics in Modular Networks

dc.creatorGalstyan, Aram
dc.creatorCohen, Paul
dc.date2008-03-13
dc.date.accessioned2026-07-07T09:26:35Z
dc.date.available2026-07-07T09:26:35Z
dc.descriptionIn this paper we study a simple cascading process in a structured heterogeneous population, namely, a network composed of two loosely coupled communities. We demonstrate that under certain conditions the cascading dynamics in such a network has a two--tiered structure that characterizes activity spreading at different rates in the communities. We study the dynamics of the model using both simulations and an analytical approach based on annealed approximation, and obtain good agreement between the two. Our results suggest that network modularity might have implications in various applications, such as epidemiology and viral marketing.
dc.description5 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/0803.1932
dc.identifierhttp://arxiv.org/abs/0803.1932
dc.identifierPhys. Rev. E 75, 036109 (2007)
dc.identifierdoi:10.1103/PhysRevE.75.036109
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/156805
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.subjectPhysics and Society
dc.titleCascading Dynamics in Modular Networks
dc.typetext

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