dc.creatorKuperman, Marcelo Nestor
dc.date.accessioned2017-06-06T18:46:57Z
dc.date.accessioned2018-11-06T11:14:16Z
dc.date.available2017-06-06T18:46:57Z
dc.date.available2018-11-06T11:14:16Z
dc.date.created2017-06-06T18:46:57Z
dc.date.issued2013-06
dc.identifierKuperman, Marcelo Nestor; Invited review: Epidemics on social networks; Asociación Física Argentina ; Papers in Physics; 5; 6-2013; 1-17; 050003
dc.identifier1852-4249
dc.identifierhttp://hdl.handle.net/11336/17595
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1847537
dc.description.abstractSince its first formulations almost a century ago, mathematical models for disease spreading contributed to understand, evaluate and control the epidemic processes. They promoted a dramatic change in how epidemiologists thought of the propagation of infectious diseases. In the last decade, when the traditional epidemiological models seemed to be exhausted, new types of models were developed. These new models incorporated concepts from graph theory to describe and model the underlying social structure. Many of these works merely produced a more detailed extension of the previous results, but some others triggered a completely new paradigm in the mathematical study of epidemic processes. In this review, we will introduce the basic concepts of epidemiology, epidemic modeling and networks, to finally provide a brief description of the most relevant results in the field.
dc.languageeng
dc.publisherAsociación Física Argentina
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.4279/PIP.050003
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.papersinphysics.org/index.php/papersinphysics/article/view/138
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComplex Systems
dc.subjectNetworks
dc.subjectEpidemiology
dc.titleInvited review: Epidemics on social networks
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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