Critical Boolean networks with scale-free in-degree distribution
Disordered Systems and Neural Networks
2009-11-13 v1 Statistical Mechanics
Abstract
We investigate analytically and numerically the dynamical properties of critical Boolean networks with power-law in-degree distributions. When the exponent of the in-degree distribution is larger than 3, we obtain results equivalent to those obtained for networks with fixed in-degree, e.g., the number of the non-frozen nodes scales as with the system size . When the exponent of the distribution is between 2 and 3, the number of the non-frozen nodes increases as , with being between 0 and 2/3 and depending on the exponent and on the cutoff of the in-degree distribution. These and ensuing results explain various findings obtained earlier by computer simulations.
Cite
@article{arxiv.0901.0387,
title = {Critical Boolean networks with scale-free in-degree distribution},
author = {Barbara Drossel and Florian Greil},
journal= {arXiv preprint arXiv:0901.0387},
year = {2009}
}
Comments
5 pages, 1 graph, 1 sketch, submitted