Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/194213
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dc.contributor.advisorBoguñá, Marián-
dc.contributor.authorGarcia Herranz, Àlex-
dc.date.accessioned2023-02-27T15:43:17Z-
dc.date.available2023-02-27T15:43:17Z-
dc.date.issued2023-01-
dc.identifier.urihttp://hdl.handle.net/2445/194213-
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022-2023, Tutor: Marián Boguñáca
dc.description.abstractWe give a short introduction to network geometry and its relation to the SIS epidemic model. Approximations and simulations are provided for four synthetic networks and two real-world networks. We compare the quality of the different mean-field approximations to the simulations. Finally, we study the effect of the nodes’s angular distribution in the hidden metric space on the prevalence of the epidemic.ca
dc.format.extent5 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Garcia, 2023-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Física-
dc.subject.classificationXarxes Complexescat
dc.subject.classificationModelització d'epidèmiescat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherComplex networkseng
dc.subject.otherEpidemic modellingeng
dc.subject.otherBachelor's theseseng
dc.titleNetwork geometry and the SIS epidemic modeleng
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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