Mean-field and non-mean-field behaviors in scale-free networks with random boolean dynamics.

dc.contributor.authorSilva, Alcides Volpato Carneiro de Castro e
dc.contributor.authorSilva, Jafferson Kamphorst Leal da
dc.date.accessioned2012-06-19T12:47:04Z
dc.date.available2012-06-19T12:47:04Z
dc.date.issued2010
dc.description.abstractWe study two types of simplified Boolean dynamics in scale-free networks, both with synchronous update. Assigning only Boolean functions AND and XOR to the nodes with probability 1 − p and p, respectively, we are able to analyze the density of 1’s and the Hamming distance on the network by numerical simulations and by a mean-field approximation (annealed approximation). We show that the behavior is quite different if the node always enters in the dynamics as its own input (self-regulation) or not. The same conclusion holds for the Kauffman NK model. Moreover, the simulation results and the mean-field ones (i) agree well when there is no self-regulation, and (ii) disagree for small p when self-regulation is present in the model.pt_BR
dc.identifier.citationSILVA, A. V. C. de C. e; SILVA, J. K. L. da. Mean-field and non-mean-field behaviors in scale-free networks with random boolean dynamics. Journal of Physics A: Mathematical and Theoretical, v. 43, n. 1, p. 1-11, mai. 2010. Disponível em: <https://iopscience.iop.org/article/10.1088/1751-8113/43/22/225101/meta>. Acesso em: 19 jun. 2012.pt_BR
dc.identifier.issn17518113
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/878
dc.language.isoen_USpt_BR
dc.rights.licensehttps://iopscience.iop.org/article/10.1088/1751-8113/43/22/225101/meta
dc.titleMean-field and non-mean-field behaviors in scale-free networks with random boolean dynamics.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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