Epidemic dynamics and endemic states in complex networks
We study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. In networks with exponentially bounded connectivity we recover the usual epidemic behavior with a threshold defining a critical point below that the infection prevalence i...
| Authors: | , |
|---|---|
| Format: | article |
| Publication Date: | 2001 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/126203 |
| Online Access: | https://hdl.handle.net/2117/126203 https://dx.doi.org/10.1103/PhysRevE.63.066117 |
| Access Level: | Open access |
| Keyword: | Epidemics Social systems Infection Epidemics in complex networks Scale-free networks Social networks Epidèmies Sistemes socials Infecció Àrees temàtiques de la UPC::Física |
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Epidemic dynamics and endemic states in complex networksPastor Satorras, Romualdo|||0000-0002-4051-6007Vespignani, AlessandroEpidemicsSocial systemsInfectionEpidemics in complex networksScale-free networksSocial networksEpidèmiesSistemes socialsInfeccióÀrees temàtiques de la UPC::FísicaWe study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. In networks with exponentially bounded connectivity we recover the usual epidemic behavior with a threshold defining a critical point below that the infection prevalence is null. On the contrary, on a wide range of scale-free networks we observe the absence of an epidemic threshold and its associated critical behavior. This implies that scale-free networks are prone to the spreading and the persistence of infections whatever spreading rate the epidemic agents might possess. These results can help understanding computer virus epidemics and other spreading phenomena on communication and social networks.20012001-05-2220192019-01-07journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/126203https://dx.doi.org/10.1103/PhysRevE.63.066117reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1262032026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Epidemic dynamics and endemic states in complex networks |
| title |
Epidemic dynamics and endemic states in complex networks |
| spellingShingle |
Epidemic dynamics and endemic states in complex networks Pastor Satorras, Romualdo|||0000-0002-4051-6007 Epidemics Social systems Infection Epidemics in complex networks Scale-free networks Social networks Epidèmies Sistemes socials Infecció Àrees temàtiques de la UPC::Física |
| title_short |
Epidemic dynamics and endemic states in complex networks |
| title_full |
Epidemic dynamics and endemic states in complex networks |
| title_fullStr |
Epidemic dynamics and endemic states in complex networks |
| title_full_unstemmed |
Epidemic dynamics and endemic states in complex networks |
| title_sort |
Epidemic dynamics and endemic states in complex networks |
| dc.creator.none.fl_str_mv |
Pastor Satorras, Romualdo|||0000-0002-4051-6007 Vespignani, Alessandro |
| author |
Pastor Satorras, Romualdo|||0000-0002-4051-6007 |
| author_facet |
Pastor Satorras, Romualdo|||0000-0002-4051-6007 Vespignani, Alessandro |
| author_role |
author |
| author2 |
Vespignani, Alessandro |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Epidemics Social systems Infection Epidemics in complex networks Scale-free networks Social networks Epidèmies Sistemes socials Infecció Àrees temàtiques de la UPC::Física |
| topic |
Epidemics Social systems Infection Epidemics in complex networks Scale-free networks Social networks Epidèmies Sistemes socials Infecció Àrees temàtiques de la UPC::Física |
| description |
We study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. In networks with exponentially bounded connectivity we recover the usual epidemic behavior with a threshold defining a critical point below that the infection prevalence is null. On the contrary, on a wide range of scale-free networks we observe the absence of an epidemic threshold and its associated critical behavior. This implies that scale-free networks are prone to the spreading and the persistence of infections whatever spreading rate the epidemic agents might possess. These results can help understanding computer virus epidemics and other spreading phenomena on communication and social networks. |
| publishDate |
2001 |
| dc.date.none.fl_str_mv |
2001 2001-05-22 2019 2019-01-07 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/126203 https://dx.doi.org/10.1103/PhysRevE.63.066117 |
| url |
https://hdl.handle.net/2117/126203 https://dx.doi.org/10.1103/PhysRevE.63.066117 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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openAccess |
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application/pdf |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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15,300724 |