Epidemic threshold in structured scale-free networks

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.

4 pages, 4 figures

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• Statistical mechanics of complex networks
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• Dynamical and correlation properties of the Internet
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• Highly clustered scale-free networks
• Critical behavior of propagation on small-world networks
• Growing Scale-Free Networks with Small World Behavior

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