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Título: | Mean-field and non-mean-field behaviors in scale-free networks with random boolean dynamics. |
Autor(es): | Silva, Alcides Volpato Carneiro de Castro e Silva, Jafferson Kamphorst Leal da |
Data do documento: | 2010 |
Referência: | SILVA, 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. |
Resumo: | We 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. |
URI: | http://www.repositorio.ufop.br/handle/123456789/878 |
ISSN: | 17518113 |
Licença: | https://iopscience.iop.org/article/10.1088/1751-8113/43/22/225101/meta |
Aparece nas coleções: | DEFIS - Artigos publicados em periódicos |
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Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_MeanFieldNon.pdf Restricted Access | 203,52 kB | Adobe PDF | Visualizar/Abrir |
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