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• W1907789020 abstract "The structure of social contact networks strongly influences the dynamics of epidemic diseases. In particular the scale-free structure of real-world social networks allows unlikely diseases with low infection rates to spread and become endemic. However, in particular for potentially fatal diseases, also the impact of the disease on the social structure cannot be neglected, leading to a complex interplay. Here, we consider the growth of a network by preferential attachment from which nodes are simultaneously removed due to an SIR epidemic. We show that increased infectiousness increases the prevalence of the disease and simultaneously causes a transition from scale-free to exponential topology. Although a transition to a degree distribution with finite variance takes place, the network still exhibits no epidemic threshold in the thermodynamic limit. We illustrate these results using agent-based simulations and analytically tractable approximation schemes." @default.
• W1907789020 created "2016-06-24" @default.
• W1907789020 creator A5066517252 @default.
• W1907789020 creator A5076436751 @default.
• W1907789020 date "2012-09-12" @default.
• W1907789020 modified "2023-09-23" @default.
• W1907789020 title "Absence of epidemic thresholds in a growing adaptive network" @default.
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