English

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 N2/3N^{2/3} with the system size NN. When the exponent of the distribution is between 2 and 3, the number of the non-frozen nodes increases as NxN^x, with xx 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.

Keywords

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

R2 v1 2026-06-21T11:57:25.621Z