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Epidemic paradox induced by awareness driven network dynamics

Csegő Balázs Kolok1,2, Gergely Ódor3,2, Dániel Keliger2,4, and Márton Karsai3,2

Phys. Rev. Research 7, L012061 – Published 10 March, 2025

DOI: https://doi.org/10.1103/PhysRevResearch.7.L012061

Abstract

We study stationary epidemic processes in scale-free networks with local-awareness behavior adopted by only susceptible, only infected, or all nodes. We find that, while the epidemic size in the susceptible-aware and the all-aware models scales linearly with the network size, the scaling becomes sublinear in the infected-aware model. Hence, fewer aware nodes may reduce the epidemic size more effectively; a phenomenon reminiscent of Braess's paradox. We present numerical and theoretical analysis and highlight the role of influential nodes and their disassortativity to raise epidemic awareness.

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