A complex system model of biological aging

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.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.identifier.urihttps://hdl.handle.net/2445/180898
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Pirker, 2021
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
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

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