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• W2018659462 abstract "Random Boolean networks, originally invented as models of genetic regulatory networks, are simple models for a broad class of complex systems that show rich dynamical structures. From a biological perspective, the most interesting networks lie at or near a critical point in parameter space that divides ordered from chaotic attractor dynamics. We study the scaling of the average number of dynamically relevant nodes and the median number of distinct attractors in such networks. Our calculations indicate that the correct asymptotic scalings emerge only for very large systems." @default.
• W2018659462 created "2016-06-24" @default.
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• W2018659462 date "2003-02-13" @default.
• W2018659462 modified "2023-10-03" @default.
• W2018659462 title "Scaling in Ordered and Critical Random Boolean Networks" @default.
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• W2018659462 doi "https://doi.org/10.1103/physrevlett.90.068702" @default.
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