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ALGORÍTMOS PARA ESTUDOS DE LIMIAR DE PERCOLAÇÃO ATRAVÉS DA DIMENSÃO FRACTAL EM HIPER-REDES

Authors: Daniel Teixeira Dos Santos; Daniel Ecco; Joaquim Elias De Freitas; Luciano Rodrigues Da Silva;

ALGORÍTMOS PARA ESTUDOS DE LIMIAR DE PERCOLAÇÃO ATRAVÉS DA DIMENSÃO FRACTAL EM HIPER-REDES

Abstract

Após estudos de Percolação em Hiper-Redes, foi desenvolvido um algoritmo que determina se uma rede bidemensinal percola percorrendo apenas parte da fronteira dos aglomerados, isto é, sem a necessidade de preencher todos os sítios que formam os aglomerados. Neste trabalho, o algoritmo foi aperfeiçoado para estudar o comportamento da dimensão fractal da fronteira do aglomerado percolante em redes dos mais diversos tamanhos e com uma grande quantidade de simulações, as quais os resultados permitem concluir, estatisticamente, que o limiar de percolação de uma rede bidimensional ocorre quando a dimensão fractal da fronteira do aglomerado percolante atinge o valor máximo. Conclusão esta que não foi encontrada ainda na literatura.Serão apresentados gráficos que mostram a convergência do limiar de percolação de uma rede bidimensional, quando a dimensão fractal da fronteira do aglomerado atinge o valor máximo, e sugestões para trabalhos futuros.

Keywords

Limiar, aglomerado percolante, dimensão fractal, A, Percolação, Fronteira, percolação, fronteira, Aglomerado Percolante, limiar, General Works

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold