Abstract

We study the macroscopic conduction properties of large but finite binary networks with conducting bonds. By taking a combination of a spectral and an averaging based approach we derive asymptotic formulae for the conduction in terms of the component proportions p and the total number of components N. These formulae correctly identify both the percolation limits and also the emergent power-law behaviour between the percolation limits and show the interplay between the size of the network and the deviation of the proportion from the critical value of p=1/2. The results compare excellently with a large number of numerical simulations.
Original languageEnglish
Pages (from-to)1004-1027
JournalPhysica A: Statistical Mechanics and its Applications
Volume392
Issue number4
Early online date2 Nov 2012
DOIs
Publication statusPublished - 15 Feb 2013

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Conduction
scaling laws
Power Law
Proportion
Scaling
Binary
conduction
proportion
Number of Components
Asymptotic Formula
Averaging
Critical value
Deviation
Numerical Simulation
deviation
simulation

Cite this

The origin of power-law emergent scaling in large binary networks. / Almond, D. P.; Budd, C. J.; Freitag, M. A.; Hunt, G. W.; McCullen, N. J.; Smith, N. D.

In: Physica A: Statistical Mechanics and its Applications, Vol. 392, No. 4, 15.02.2013, p. 1004-1027.

Research output: Contribution to journalArticle

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AU - Smith, N. D.

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