Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2000-10-05
Nonlinear Sciences
Adaptation and Self-Organizing Systems
10 pages, 9 figures
Scientific paper
10.1103/PhysRevE.63.036204
We analyze the synchronization transition for a pair of coupled identical Kauffman networks in the chaotic phase. The annealed model for Kauffman networks shows that synchronization appears through a transcritical bifurcation, and provides an approximate description for the whole dynamics of the coupled networks. We show that these analytical predictions are in good agreement with numerical results for sufficiently large networks, and study finite-size effects in detail. Preliminary analytical and numerical results for partially disordered networks are also presented.
Morelli Luis G.
Zanette Damian H.
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