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dc.contributorDíaz Guilera, Albert
dc.contributor.authorSala Viñas, Jonàs
dc.date.accessioned2008-11-03T11:33:55Z
dc.date.available2008-11-03T11:33:55Z
dc.date.issued2007-06-28
dc.identifier.urihttp://hdl.handle.net/2099.1/5728
dc.description.abstractA whole spectrum of networks is generated with a quasistatic growth model. N nodes are located in a 2D lattice and a fixed number of links are added between them. Links are created either preferentially with strenght γ or with a nearest neighbor, thus obtaining from regular lattices to random or scale free networks. Throw simulations, we study the efficiency of a search and congestion algorithm on such networks and relate the results to their topology. Some new figures and techniques are presented that clarify results in previous works. Finally, a certain change in the average load of networks for γ>l, which had no previous explanation, is found to be related with a transition in the average degree of the most connected node.
dc.language.isocat
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshSocial networks
dc.subject.otherXarxes complexes
dc.subject.otherCongestió
dc.subject.otherComunicació
dc.subject.otherAjust de distribucions de grau
dc.titleIdentificació de xarxes complexes
dc.typeMaster thesis
dc.subject.lemacXarxes socials
dc.rights.accessOpen Access
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN FÍSICA COMPUTACIONAL I APLICADA (Pla 2006)


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