Griffiths effects of the susceptible-infected-susceptible epidemic model on random power-law networks

Wesley Cota, Silvio C. Ferreira, G. Ódor

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

We provide numerical evidence for slow dynamics of the susceptible-infected-susceptible model evolving on finite-size random networks with power-law degree distributions. Extensive simulations were done by averaging the activity density over many realizations of networks. We investigated the effects of outliers in both highly fluctuating (natural cutoff) and nonfluctuating (hard cutoff) most connected vertices. Logarithmic and power-law decays in time were found for natural and hard cutoffs, respectively. This happens in extended regions of the control parameter space λ1

Original languageEnglish
Article number032322
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume93
Issue number3
DOIs
Publication statusPublished - Mar 28 2016

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Random Networks
Power-law Distribution
Epidemic Model
Degree Distribution
Control Parameter
Outlier
Averaging
Parameter Space
Logarithmic
Power Law
cut-off
Decay
Simulation
apexes
Model
decay
Evidence
simulation

ASJC Scopus subject areas

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

Cite this

Griffiths effects of the susceptible-infected-susceptible epidemic model on random power-law networks. / Cota, Wesley; Ferreira, Silvio C.; Ódor, G.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 93, No. 3, 032322, 28.03.2016.

Research output: Contribution to journalArticle

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