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Epidemic dynamics in finite size scale-free networks

Romualdo Pastor‐SatorrasAlessandro Vespignani

Abstract

Many real networks present a bounded scale-free behavior with a connectivity cutoff due to physical constraints or a finite network size. We study epidemic dynamics in bounded scale-free networks with soft and hard connectivity cutoffs. The finite size effects introduced by the cutoff induce an epidemic threshold that approaches zero at increasing sizes. The induced epidemic threshold is very small even at a relatively small cutoff, showing that the neglection of connectivity fluctuations in bounded scale-free networks leads to a strong overestimation of the epidemic threshold. We provide the expression for the infection prevalence and discuss its finite size corrections. The present paper shows that the highly heterogeneous nature of scale-free networks does not allow the use of homogeneous approximations even for systems of a relatively small number of nodes.

Complex Network Analysis TechniquesOpinion Dynamics and Social InfluenceStochastic processes and statistical mechanicsCutoffBounded functionScale-free networkScale (ratio)Statistical physicsHomogeneousLength scaleEpidemic modelComplex networkComputer science

Funding

  • Abdus Salam International Centre for Theoretical Physics
Citations
685
FWCI
11.35
field-weighted impact
References
22
Percentile
99%
vs. same field & year
Citations per year
Cited by
Epidemic processes in complex networks
Reviews of Modern Physics · 2015 · 3,616 citations
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Epidemic dynamics in finite size scale-free networks · Scinovex