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dc.contributor.authorMetz, Fernando Lucaspt_BR
dc.contributor.authorSilva, Jeferson Dias dapt_BR
dc.date.accessioned2021-03-10T04:21:07Zpt_BR
dc.date.issued2020pt_BR
dc.identifier.issn2643-1564pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/218523pt_BR
dc.description.abstractAlthough the spectra of random networks have been studied for a long time, the influence of network topology on the dense limit of network spectra remains poorly understood. By considering the configuration model of networks with four distinct degree distributions, we show that the spectral density of the adjacency matrices of dense random networks is determined by the strength of the degree fluctuations. In particular, the eigenvalue distribution of dense networks with an exponential degree distribution is governed by a simple equation, from which we uncover a logarithmic singularity in the spectral density. We also derive a relation between the fourth moment of the eigenvalue distribution and the variance of the degree distribution, which leads to a sufficient condition for the breakdown of the Wigner semicircle law for dense random networks. Based on the same relation, we propose a classification scheme of the distinct universal behaviors of the spectral density in the dense limit. Our theoretical findings should lead to important insights on the mean-field behavior of models defined on graphs.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofPhysical Review Research. College Park. Vol. 2, no. 4 (Oct./Dec. 2020), 043116, 12 p.pt_BR
dc.rightsOpen Accessen
dc.subjectLei do semicírculo de Wignerpt_BR
dc.subjectSistemas dinâmicospt_BR
dc.subjectMatrizes aleatóriaspt_BR
dc.titleSpectral density of dense random networks and the breakdown of the Wigner semicircle lawpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001122370pt_BR
dc.type.originEstrangeiropt_BR


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