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...

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Detalhes bibliográficos
Autores: Boguña Espinal, Marian, Pastor Satorras, Romualdo|||0000-0002-4051-6007
Tipo de documento: artigo
Data de publicação:2002
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/126037
Acesso em linha:https://hdl.handle.net/2117/126037
https://dx.doi.org/10.1103/PhysRevE.66.047104
Access Level:Acceso aberto
Palavra-chave:Epidemics
Epidemic spreading
Complex networks
Markovian complex networks
Epidèmies
Àrees temàtiques de la UPC::Física
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repository_id_str
spelling Epidemic spreading in correlated complex networksBoguña Espinal, MarianPastor Satorras, Romualdo|||0000-0002-4051-6007EpidemicsEpidemic spreadingComplex networksMarkovian complex networksEpidèmiesÀrees temàtiques de la UPC::FísicaWe 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.20022002-10-0120182018-12-19journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/126037https://dx.doi.org/10.1103/PhysRevE.66.047104reponame: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:2117/1260372026-05-27T15:37:01Z
dc.title.none.fl_str_mv Epidemic spreading in correlated complex networks
title Epidemic spreading in correlated complex networks
spellingShingle Epidemic spreading in correlated complex networks
Boguña Espinal, Marian
Epidemics
Epidemic spreading
Complex networks
Markovian complex networks
Epidèmies
Àrees temàtiques de la UPC::Física
title_short Epidemic spreading in correlated complex networks
title_full Epidemic spreading in correlated complex networks
title_fullStr Epidemic spreading in correlated complex networks
title_full_unstemmed Epidemic spreading in correlated complex networks
title_sort Epidemic spreading in correlated complex networks
dc.creator.none.fl_str_mv Boguña Espinal, Marian
Pastor Satorras, Romualdo|||0000-0002-4051-6007
author Boguña Espinal, Marian
author_facet Boguña Espinal, Marian
Pastor Satorras, Romualdo|||0000-0002-4051-6007
author_role author
author2 Pastor Satorras, Romualdo|||0000-0002-4051-6007
author2_role author
dc.subject.none.fl_str_mv Epidemics
Epidemic spreading
Complex networks
Markovian complex networks
Epidèmies
Àrees temàtiques de la UPC::Física
topic Epidemics
Epidemic spreading
Complex networks
Markovian complex networks
Epidèmies
Àrees temàtiques de la UPC::Física
description 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.
publishDate 2002
dc.date.none.fl_str_mv 2002
2002-10-01
2018
2018-12-19
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/2117/126037
https://dx.doi.org/10.1103/PhysRevE.66.047104
url https://hdl.handle.net/2117/126037
https://dx.doi.org/10.1103/PhysRevE.66.047104
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/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_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/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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