Cascading dynamics in modular networks

Aram Galstyan, Paul Cohen

Research output: Contribution to journalArticle

56 Scopus citations

Abstract

In 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.

Original languageEnglish (US)
Article number036109
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume75
Issue number3
DOIs
StatePublished - Mar 23 2007

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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