Epidemics in Partially Overlapped Multiplex Networks

Autores
Buono, Camila; Alvarez Zuzek, Lucila Gisele; Macri, Pablo Alejandro; Braunstein, Lidia A.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Many real networks exhibit a layered structure in which links in each layer reflect the function of nodes on different environments. These multiple types of links are usually represented by a multiplex network in which each layer has a different topology. In real-world networks, however, not all nodes are present on every layer. To generate a more realistic scenario, we use a generalized multiplex network and assume that only a fraction q of the nodes are shared by the layers. We develop a theoretical framework for a branching process to describe the spread of an epidemic on these partially overlapped multiplex networks. This allows us to obtain the fraction of infected individuals as a function of the effective probability that the disease will be transmitted T. We also theoretically determine the dependence of the epidemic threshold on the fraction q of shared nodes in a system composed of two layers. We find that in the limit of q->0 the threshold is dominated by the layer with the smaller isolated threshold. Although a system of two completely isolated networks is nearly indistinguishable from a system of two networks that share just a few nodes, we find that the presence of these few shared nodes causes the epidemic threshold of the isolated network with the lower propagating capacity to change discontinuously and to acquire the threshold of the other network.
Fil: Buono, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Alvarez Zuzek, Lucila Gisele. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Macri, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Braunstein, Lidia A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
Materia
EPIDEMIAS
PERCOLACION
REDES COMPLEJAS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/8252

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spelling Epidemics in Partially Overlapped Multiplex NetworksBuono, CamilaAlvarez Zuzek, Lucila GiseleMacri, Pablo AlejandroBraunstein, Lidia A.EPIDEMIASPERCOLACIONREDES COMPLEJAShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Many real networks exhibit a layered structure in which links in each layer reflect the function of nodes on different environments. These multiple types of links are usually represented by a multiplex network in which each layer has a different topology. In real-world networks, however, not all nodes are present on every layer. To generate a more realistic scenario, we use a generalized multiplex network and assume that only a fraction q of the nodes are shared by the layers. We develop a theoretical framework for a branching process to describe the spread of an epidemic on these partially overlapped multiplex networks. This allows us to obtain the fraction of infected individuals as a function of the effective probability that the disease will be transmitted T. We also theoretically determine the dependence of the epidemic threshold on the fraction q of shared nodes in a system composed of two layers. We find that in the limit of q->0 the threshold is dominated by the layer with the smaller isolated threshold. Although a system of two completely isolated networks is nearly indistinguishable from a system of two networks that share just a few nodes, we find that the presence of these few shared nodes causes the epidemic threshold of the isolated network with the lower propagating capacity to change discontinuously and to acquire the threshold of the other network.Fil: Buono, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; ArgentinaFil: Alvarez Zuzek, Lucila Gisele. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; ArgentinaFil: Macri, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; ArgentinaFil: Braunstein, Lidia A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados UnidosPublic Library Of Science2014-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8252Buono, Camila; Alvarez Zuzek, Lucila Gisele; Macri, Pablo Alejandro; Braunstein, Lidia A.; Epidemics in Partially Overlapped Multiplex Networks; Public Library Of Science; Plos One; 9; 7; 3-2014; 92200-922051932-6203enginfo:eu-repo/semantics/altIdentifier/url/http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0092200info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0092200info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:19Zoai:ri.conicet.gov.ar:11336/8252instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:00:20.286CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Epidemics in Partially Overlapped Multiplex Networks
title Epidemics in Partially Overlapped Multiplex Networks
spellingShingle Epidemics in Partially Overlapped Multiplex Networks
Buono, Camila
EPIDEMIAS
PERCOLACION
REDES COMPLEJAS
title_short Epidemics in Partially Overlapped Multiplex Networks
title_full Epidemics in Partially Overlapped Multiplex Networks
title_fullStr Epidemics in Partially Overlapped Multiplex Networks
title_full_unstemmed Epidemics in Partially Overlapped Multiplex Networks
title_sort Epidemics in Partially Overlapped Multiplex Networks
dc.creator.none.fl_str_mv Buono, Camila
Alvarez Zuzek, Lucila Gisele
Macri, Pablo Alejandro
Braunstein, Lidia A.
author Buono, Camila
author_facet Buono, Camila
Alvarez Zuzek, Lucila Gisele
Macri, Pablo Alejandro
Braunstein, Lidia A.
author_role author
author2 Alvarez Zuzek, Lucila Gisele
Macri, Pablo Alejandro
Braunstein, Lidia A.
author2_role author
author
author
dc.subject.none.fl_str_mv EPIDEMIAS
PERCOLACION
REDES COMPLEJAS
topic EPIDEMIAS
PERCOLACION
REDES COMPLEJAS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Many real networks exhibit a layered structure in which links in each layer reflect the function of nodes on different environments. These multiple types of links are usually represented by a multiplex network in which each layer has a different topology. In real-world networks, however, not all nodes are present on every layer. To generate a more realistic scenario, we use a generalized multiplex network and assume that only a fraction q of the nodes are shared by the layers. We develop a theoretical framework for a branching process to describe the spread of an epidemic on these partially overlapped multiplex networks. This allows us to obtain the fraction of infected individuals as a function of the effective probability that the disease will be transmitted T. We also theoretically determine the dependence of the epidemic threshold on the fraction q of shared nodes in a system composed of two layers. We find that in the limit of q->0 the threshold is dominated by the layer with the smaller isolated threshold. Although a system of two completely isolated networks is nearly indistinguishable from a system of two networks that share just a few nodes, we find that the presence of these few shared nodes causes the epidemic threshold of the isolated network with the lower propagating capacity to change discontinuously and to acquire the threshold of the other network.
Fil: Buono, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Alvarez Zuzek, Lucila Gisele. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Macri, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Braunstein, Lidia A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata; Argentina. Boston University; Estados Unidos
description Many real networks exhibit a layered structure in which links in each layer reflect the function of nodes on different environments. These multiple types of links are usually represented by a multiplex network in which each layer has a different topology. In real-world networks, however, not all nodes are present on every layer. To generate a more realistic scenario, we use a generalized multiplex network and assume that only a fraction q of the nodes are shared by the layers. We develop a theoretical framework for a branching process to describe the spread of an epidemic on these partially overlapped multiplex networks. This allows us to obtain the fraction of infected individuals as a function of the effective probability that the disease will be transmitted T. We also theoretically determine the dependence of the epidemic threshold on the fraction q of shared nodes in a system composed of two layers. We find that in the limit of q->0 the threshold is dominated by the layer with the smaller isolated threshold. Although a system of two completely isolated networks is nearly indistinguishable from a system of two networks that share just a few nodes, we find that the presence of these few shared nodes causes the epidemic threshold of the isolated network with the lower propagating capacity to change discontinuously and to acquire the threshold of the other network.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/8252
Buono, Camila; Alvarez Zuzek, Lucila Gisele; Macri, Pablo Alejandro; Braunstein, Lidia A.; Epidemics in Partially Overlapped Multiplex Networks; Public Library Of Science; Plos One; 9; 7; 3-2014; 92200-92205
1932-6203
url http://hdl.handle.net/11336/8252
identifier_str_mv Buono, Camila; Alvarez Zuzek, Lucila Gisele; Macri, Pablo Alejandro; Braunstein, Lidia A.; Epidemics in Partially Overlapped Multiplex Networks; Public Library Of Science; Plos One; 9; 7; 3-2014; 92200-92205
1932-6203
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0092200
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0092200
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library Of Science
publisher.none.fl_str_mv Public Library Of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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