On the numerical study of percolation and epidemic critical properties in networks
The static properties of the fundamental model for epidemics of diseases allowing immunity (susceptible-infected-removed model) are known to be derivable by an exact mapping to bond percolation. Yet when performing numerical simulations of these dynamics in a network a number of subtleties must be t...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| 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:2117/99034 |
| Acceso en línea: | https://hdl.handle.net/2117/99034 https://dx.doi.org/10.1140/epjb/e2016-60953-5 |
| Access Level: | acceso abierto |
| Palabra clave: | Percolation (Statistical physics) Statistical mechanics Statistical and Nonlinear Physics Filtres digitals (Matemàtica) Mecànica estadística Àrees temàtiques de la UPC::Física |
| Sumario: | The static properties of the fundamental model for epidemics of diseases allowing immunity (susceptible-infected-removed model) are known to be derivable by an exact mapping to bond percolation. Yet when performing numerical simulations of these dynamics in a network a number of subtleties must be taken into account in order to correctly estimate the transition point and the associated critical properties. We expose these subtleties and identify the different quantities which play the role of criticality detector in the two dynamics. |
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