Damage Spreading and Criticality in Finite Random Dynamical Networks

Details Damage Spreading and Criticality in Finite Random Dynamical Networks Damage Spreading and Criticality in Finite Random Dynamical Networks

2007-01-24

arxiv.org/abs/cond-mat/0701601v1

Phys. Rev. Lett. 99, 248701 (2007)

Physics

Condensed Matter

Disordered Systems and Neural Networks

4 pages, 4 eps figures

Scientific paper

10.1103/PhysRevLett.99.248701

We systematically study and compare damage spreading at the sparse percolation (SP) limit for random boolean and threshold networks with perturbations that are independent of the network size $N$. This limit is relevant to information and damage propagation in many technological and natural networks. Using finite size scaling, we identify a new characteristic connectivity $K_s$, at which the average number of damaged nodes $\bar d$, after a large number of dynamical updates, is independent of $N$. Based on marginal damage spreading, we determine the critical connectivity $K_c^{sparse}(N)$ for finite $N$ at the SP limit and show that it systematically deviates from $K_c$, established by the annealed approximation, even for large system sizes. Our findings can potentially explain the results recently obtained for gene regulatory networks and have important implications for the evolution of dynamical networks that solve specific computational or functional tasks.

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