Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/180898
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dc.contributor.advisorDíaz Guilera, Albert-
dc.contributor.authorPirker Díaz, Paula-
dc.date.accessioned2021-10-28T14:46:21Z-
dc.date.available2021-10-28T14:46:21Z-
dc.date.issued2021-07-
dc.identifier.urihttps://hdl.handle.net/2445/180898-
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Albert Díaz-Guileraca
dc.description.abstractThe aim of this work is to analyze the network influence in a model of aging that has been proposed recently. The model is based in the interdependency of nodes affected by damage and repair processes. While the original work was limited to analyze random graphs and Barab´asi-Albert networks, we propose a general framework based on an exponent dependent preferential attachment rule for the construction of the network, and the two cases analyzed previously correspond to particular values of the exponent. We provide a discussion on the biological plausibility of the different models, which now include a sublinear and superlinear dependence on the degreesca
dc.format.extent5 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Pirker, 2021-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Física-
dc.subject.classificationEnvellimentcat
dc.subject.classificationSistemes complexoscat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherAgingeng
dc.subject.otherComplex systemseng
dc.subject.otherBachelor's theseseng
dc.titleA complex system model of biological agingeng
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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