Broad edge of chaos in strongly heterogeneous Boolean networks

dc.creatorLee, Deok-Sun
dc.creatorRieger, Heiko
dc.date2006-05-30
dc.date2008-09-19
dc.date.accessioned2026-07-07T10:03:48Z
dc.date.available2026-07-07T10:03:48Z
dc.descriptionThe 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 $P_d(k)\sim k^{-γ}$ with $2<γ<3$, 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 $γ$. We conclude that the heterogeneous regulatory network connectivity facilitates the balancing between robustness and evolvability in living organisms.
dc.description8 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0605730
dc.identifierhttp://arxiv.org/abs/cond-mat/0605730
dc.identifierJ. Phys. A: Math. Theor. 41 (2008) 415001
dc.identifierdoi:10.1088/1751-8113/41/41/415001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/169425
dc.subjectStatistical Mechanics
dc.titleBroad edge of chaos in strongly heterogeneous Boolean networks
dc.typetext

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