title: Node vulnerability under finite perturbations in complex networks.
abstract: A measure to quantify vulnerability under perturbations (attacks, failures, large fluctuations) in ensembles (networks) of coupled dynamical systems is proposed. Rather than addressing the issue of how the network properties change upon removal of elements of the graph (the strategy followed by most of the existing methods for studying the vulnerability of a network based on its topology), here a dynamical definition of vulnerability is introduced, referring to the robustness of a collective dynamical state to perturbing events occurring over a fixed topology. In particular, we study how the collective (synchronized) dynamics of a network of chaotic units is disrupted under the action of a finite size perturbation on one of its nodes. Illustrative examples are provided for three systems of identical chaotic oscillators coupled according to three distinct well-known network topologies. A quantitative comparison between the obtained vulnerability rankings and the classical connectivity/centrality rankings is made that yields conclusive results. Possible applications of the proposed strategy and conclusions are also discussed.
authors.affiliation: Centre for Biomedical Technology, Technical University of Madrid, Pozuelo de Alarcón, Madrid, Spain. rcd.gutierrez@gmail.com
authors.forename: Ricardo
authors.initials: R
authors.lastname: Gutiérrez
authors.forename: Francisco
authors.initials: F
authors.lastname: Del-Pozo
authors.forename: Stefano
authors.initials: S
authors.lastname: Boccaletti
mesh_terms: D020342:Finite Element Analysis; D008954:Models, Biological