Literature DB >> 19792195

Critical Boolean networks with scale-free in-degree distribution.

Barbara Drossel1, Florian Greil.   

Abstract

We investigate analytically and numerically the dynamical properties of critical Boolean networks with power-law in-degree distributions and for two choices of update functions. 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 nonfrozen 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 nonfrozen 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.

Year:  2009        PMID: 19792195     DOI: 10.1103/PhysRevE.80.026102

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

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3.  Boolean networks as modeling framework.

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  4 in total

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