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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/8252
Ver los metadatos del registro completo
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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/ |
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openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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