1997/08/28 by Ugo Bastolla, U. Bastolla, Giorgio Parisi +1
Computer Science · Physics and Astronomy · #Computer science #Condensed matter physics #Magnetic field #Magnetization #Neural Networks Stability and Synchronization #Neural Networks and Applications #Nonlinear Dynamics and Pattern Formation #Physics #Quantum mechanics #Statistical physics #cond-mat.dis-nn
paper · pdf · doi:10.1016/s0167-2789(97)00243-1
22 pages, Latex, 8 figures, submitted to Physica D
arxiv created 1997/08/28 · openalex publication_date 1998/05/01 · arxiv updated 2009/11/30 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
This is the first of two papers about the structure of Kauffman networks. In this paper we define the relevant elements of random networks of automata, following previous work by Flyvbjerg and Flyvbjerg and Kjaer, and we study numerically their probability distribution in the chaotic phase and on the critical line of the model. A simple approximate argument predicts that their number scales as sqrt(N) on the critical line, while it is linear with N in the chaotic phase and independent of system size in the frozen phase. This argument is confirmed by numerical results. The study of the relevant elements gives useful information about the properties of the attractors in critical networks, where the pictures coming from either approximate computation methods or from simulations are not very clear.