Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2006-05-30
J. Phys. A: Math. Theor. 41 (2008) 415001
Physics
Condensed Matter
Statistical Mechanics
8 pages, 3 figures
Scientific paper
10.1088/1751-8113/41/41/415001
The dynamic stability of the Boolean networks representing a model for the gene transcriptional regulation (Kauffman model) is studied by calculating analytically and numerically the Hamming distance between two evolving configurations. This turns out to behave in a universal way close to the phase boundary only for in-degree distributions with a finite second moment. In-degree distributions of the form $P_d(k)\sim k^{-\gamma}$ with $2<\gamma<3$, thus having a diverging second moment, lead to a slower increase of the Hamming distance when moving towards the unstable phase and to a broadening of the phase boundary for finite $N$ with decreasing $\gamma$. We conclude that the heterogeneous regulatory network connectivity facilitates the balancing between robustness and evolvability in living organisms.
Lee Deok-Sun
Rieger Heiko
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