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Epidemic threshold in structured scale-free networks

Victor M. Eguiluz·Konstantin Klemm
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Abstract

We analyze the spreading of viruses in scale-free networks with high clustering and degree correlations, as found in the Internet graph. For the Suscetible-Infected-Susceptible model of epidemics the prevalence undergoes a phase transition at a finite threshold of the transmission probability. Comparing with the absence of a finite threshold in networks with purely random wiring, our result suggests that high clustering and degree correlations protect scale-free networks against the spreading of viruses. We introduce and verify a quantitative description of the epidemic threshold based on the connectivity of the neighborhoods of the hubs.

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Victor M. Eguiluz, Konstantin Klemm. 2002-05-21. Epidemic threshold in structured scale-free networks. https://doi.org/10.1103/physrevlett.89.108701

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