Epidemic spreading in correlated complex networks
We study a dynamical model of epidemic spreading on complex networks in which there are explicit correlations among the node’s connectivities. For the case of Markovian complex networks, showing only correlations between pairs of nodes, we find an epidemic threshold inversely proportional to the lar...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2002 |
| 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:2117/126037 |
| Acceso en línea: | https://hdl.handle.net/2117/126037 https://dx.doi.org/10.1103/PhysRevE.66.047104 |
| Access Level: | acceso abierto |
| Palabra clave: | Epidemics Epidemic spreading Complex networks Markovian complex networks Epidèmies Àrees temàtiques de la UPC::Física |
| Sumario: | We study a dynamical model of epidemic spreading on complex networks in which there are explicit correlations among the node’s connectivities. For the case of Markovian complex networks, showing only correlations between pairs of nodes, we find an epidemic threshold inversely proportional to the largest eigenvalue of the connectivity matrix that gives the average number of links, which from a node with connectivity k go to nodes with connectivity k'. Numerical simulations on a correlated growing network model provide support for our conclusions. |
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