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- W1985351346 abstract "The Kauffman model describes a particularly simple class of random Boolean networks. Despite the simplicity of the model, it exhibits complex behavior and has been suggested as a model for real world network problems. We introduce a novel approach to analyzing attractors in random Boolean networks, and applying it to Kauffman networks we prove that the average number of attractors grows faster than any power law with system size." @default.
- W1985351346 created "2016-06-24" @default.
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- W1985351346 date "2003-03-04" @default.
- W1985351346 modified "2023-09-23" @default.
- W1985351346 title "Superpolynomial Growth in the Number of Attractors in Kauffman Networks" @default.
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- W1985351346 doi "https://doi.org/10.1103/physrevlett.90.098701" @default.
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