Information propagation on modular networks

L Huang, K Park, Y C Lai, Ying-Cheng Lai

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

Networks with a community (or modular) structure underlie many social and biological phenomena. In such a network individuals tend to form sparsely linked local communities, each having dense internal connections. We investigate the dynamics of information propagation on modular networks by using a three-state epidemic model with a unit spreading rate (i.e., the probability for a susceptible individual to be "infected" with the information is one). We find a surprising, resonancelike phenomenon: the information lifetime on the network can be maximized by the number of modules. The result can be useful for optimizing or controlling information spread on social or biological networks.

Original languageEnglish
Article number035103
Pages (from-to)-
Number of pages4
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Volume73
Issue number3
DOIs
Publication statusPublished - Mar 2006

Keywords

  • COMPLEX NETWORKS
  • DYNAMICS
  • VIRUSES
  • SPREAD
  • MODEL

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