Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Analytically solvable model of probabilistic network dynamics
Author: de Aguiar, MAM
Epstein, IR
Bar-Yam, Y
Abstract: We present a simple model of network dynamics that can be solved analytically for fully connected networks. We obtain the dynamics of response of the system to perturbations. The analytical solution is an excellent approximation for random networks. A comparison with the scale-free network, though qualitatively similar, shows the effect of distinct topology.
Country: EUA
Editor: American Physical Soc
Citation: Physical Review E. American Physical Soc, v. 72, n. 6, 2005.
Rights: aberto
Identifier DOI: 10.1103/PhysRevE.72.067102
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
WOS000235065000104.pdf72.93 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.