Evolutionary vaccination dilemma in complex networks
Resumen: In this work we analyze the evolution of voluntary vaccination in networked populations by entangling the spreading dynamics of an influenza-like disease with an evolutionary framework taking place at the end of each influenza season so that individuals take or do not take the vaccine upon their previous experience. Our framework thus puts in competition two well-known dynamical properties of scale-free networks: the fast propagation of diseases and the promotion of cooperative behaviors. Our results show that when vaccine is perfect, scale-free networks enhance the vaccination behavior with respect to random graphs with homogeneous connectivity patterns. However, when imperfection appears we find a crossover effect so that the number of infected (vaccinated) individuals increases (decreases) with respect to homogeneous networks, thus showing the competition between the aforementioned properties of scale-free graphs.
Idioma: Inglés
DOI: 10.1103/PhysRevE.88.032803
Año: 2013
Publicado en: PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS 88, 3 (2013), 032803 [7 pp]
ISSN: 1539-3755

Factor impacto JCR: 2.326 (2013)
Categ. JCR: PHYSICS, MATHEMATICAL rank: 6 / 55 = 0.109 (2013) - Q1 - T1
Categ. JCR: PHYSICS, FLUIDS & PLASMAS rank: 9 / 31 = 0.29 (2013) - Q2 - T1

Factor impacto SCIMAGO:

Financiación: info:eu-repo/grantAgreement/ES/DGA/FENOL-GROUP
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2011-25167
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2012-38266-C02-01
Tipo y forma: Article (Published version)
Área (Departamento): Física de la Materia Condensada (Departamento de Física de la Materia Condensada)

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Exportado de SIDERAL (2017-05-19-14:53:14)

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