Epidemic paradox induced by awareness driven network dynamics

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 sub...

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Main Authors: Csegő Balázs Kolok, Gergely Ódor, Dániel Keliger, Márton Karsai
Format: Article
Language:English
Published: American Physical Society 2025-03-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.7.L012061
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author Csegő Balázs Kolok
Gergely Ódor
Dániel Keliger
Márton Karsai
author_facet Csegő Balázs Kolok
Gergely Ódor
Dániel Keliger
Márton Karsai
author_sort Csegő Balázs Kolok
collection DOAJ
description 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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issn 2643-1564
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publishDate 2025-03-01
publisher American Physical Society
record_format Article
series Physical Review Research
spelling doaj-art-1b4081561ba849ea97c28a9fd85efa8d2025-08-20T01:57:35ZengAmerican Physical SocietyPhysical Review Research2643-15642025-03-0171L01206110.1103/PhysRevResearch.7.L012061Epidemic paradox induced by awareness driven network dynamicsCsegő Balázs KolokGergely ÓdorDániel KeligerMárton KarsaiWe 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.http://doi.org/10.1103/PhysRevResearch.7.L012061
spellingShingle Csegő Balázs Kolok
Gergely Ódor
Dániel Keliger
Márton Karsai
Epidemic paradox induced by awareness driven network dynamics
Physical Review Research
title Epidemic paradox induced by awareness driven network dynamics
title_full Epidemic paradox induced by awareness driven network dynamics
title_fullStr Epidemic paradox induced by awareness driven network dynamics
title_full_unstemmed Epidemic paradox induced by awareness driven network dynamics
title_short Epidemic paradox induced by awareness driven network dynamics
title_sort epidemic paradox induced by awareness driven network dynamics
url http://doi.org/10.1103/PhysRevResearch.7.L012061
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AT gergelyodor epidemicparadoxinducedbyawarenessdrivennetworkdynamics
AT danielkeliger epidemicparadoxinducedbyawarenessdrivennetworkdynamics
AT martonkarsai epidemicparadoxinducedbyawarenessdrivennetworkdynamics