Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 284, Issue 1-4, Pages 33-45Publisher
ELSEVIER
DOI: 10.1016/S0378-4371(00)00184-9
Keywords
Kauffman model; random Boolean networks; Lyapunov exponents
Categories
Ask authors/readers for more resources
A new order parameter approximation to random boolean networks (RBN) is introduced, based on the concept of Boolean derivative. A statistical argument involving an annealed approximation is used, allowing to measure the order parameter in terms of the statistical properties of a random matrix. Using the same formalism, a Lyapunov exponent is calculated, allowing to provide the onset of damage spreading through the network and how sensitive it is to minimal perturbations. Finally, the Lyapunov exponents are obtained by means of different approximations: through distance method and a discrete variant of the Wolf's method for continuous systems, (C) 2000 Elsevier Science B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available