Epidemic threshold and phase transition in scale-free networks with asymmetric infection

. We study the SIS epidemic dynamics on scale-freeweighted networks with asymmetric infection, by both analysis andnumerical simulations, with focus on the epidemic threshold aswell as critical behaviors. It is demonstrated that the asymmetryof infection plays an important role: we could redistribut...

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Bibliographic Details
Published inThe European physical journal. B, Condensed matter physics Vol. 65; no. 4; pp. 591 - 594
Main Authors Yan, G., Fu, Z.-Q., Chen, G.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 01.10.2008
EDP Sciences
Subjects
Biological and medical sciences
Complex Systems
Condensed Matter Physics
Epidemiology. Vaccinations
Fluid- and Aerodynamics
General aspects
Infectious diseases
Interdisciplinary Physics
Medical sciences
Physics
Physics and Astronomy
Solid State Physics
89.75.-k Complex systems
89.75.Hc Networks and genealogical trees
Epidemic
Infection
Critical phenomenon
Numerical simulation
Asymmetry
Threshold
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Summary:. We study the SIS epidemic dynamics on scale-freeweighted networks with asymmetric infection, by both analysis andnumerical simulations, with focus on the epidemic threshold aswell as critical behaviors. It is demonstrated that the asymmetryof infection plays an important role: we could redistribute theasymmetry to balance the degree heterogeneity of the network andthen to restore the epidemic threshold to a fnite value. On theother hand, we show that the absence of the epidemic threshold isnot so bad as commented previously since the prevalence grows veryslowly in this case and one could only protect a few vertices toprevent the diseases propagation.
ISSN:1434-6028
1434-6036
DOI:10.1140/epjb/e2008-00370-y