Critical Boolean networks with scale-free in-degree distribution

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

5 pages, 1 graph, 1 sketch, submitted

References in corpus (3)

• Generation of arbitrarily two-point correlated random networks
• Scaling in a general class of critical random Boolean networks
• Broad edge of chaos in strongly heterogeneous Boolean networks