Self-correcting networks: Function, robustness, and motif distributions in biological signal processing
- 1 June 2008
- journal article
- Published by AIP Publishing in Chaos: An Interdisciplinary Journal of Nonlinear Science
- Vol. 18 (2) , 026113
- https://doi.org/10.1063/1.2945228
Abstract
Statistical properties of large ensembles of networks, all designed to have the same functions of signal processing, but robust against different kinds of perturbations, are analyzed. We find that robustness against noise and random local damage plays a dominant role in determining motif distributions of networks and may underlie their classification into network superfamilies.Keywords
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