Absence of epidemic threshold in scale-free networks with degree correlations

Random scale-free networks have the peculiar property of being prone to the spreading of infections. Here we provide for the susceptible-infected-susceptible model an exact result showing that a scale-free degree distribution with diverging second moment is a sufficient condition to have null epidem...

Descripción completa

Detalles Bibliográficos
Autores: Boguña Espinal, Marian, Pastor Satorras, Romualdo|||0000-0002-4051-6007, Vespignani, Alessandro
Tipo de recurso: artículo
Fecha de publicación:2003
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/126035
Acceso en línea:https://hdl.handle.net/2117/126035
https://dx.doi.org/10.1103/PhysRevLett.90.028701
Access Level:acceso abierto
Palabra clave:Epidemics
Scale-free networks
Epidemic threshold
Epidèmies
Àrees temàtiques de la UPC::Física
Descripción
Sumario:Random scale-free networks have the peculiar property of being prone to the spreading of infections. Here we provide for the susceptible-infected-susceptible model an exact result showing that a scale-free degree distribution with diverging second moment is a sufficient condition to have null epidemic threshold in unstructured networks with either assortative or disassortative mixing. Degree correlations result therefore irrelevant for the epidemic spreading picture in these scale-free networks. The present result is related to the divergence of the average nearest neighbor’s degree, enforced by the degree detailed balance condition.