Work

Robustness to noise in synchronization of complex networks

Year: 2013

Type: article

Abstract: In this report, we investigate dynamical robustness of a complex network to noise injected through one of its nodes. We focus on synchronization of coupled nonlinear systems and, as a special instance, we address the classical consensus protocol for linear integrators. We establish an exact closed-form expression of the synchronization error for the consensus protocol and an approximate result for chaotic units. While structural robustness is known to be significantly affected by attacks targeted to network hubs, our results posit that dynamical robustness is controlled by both the topology of the network and the dynamics of the units. We provide examples where hubs perform better or worse than isolated nodes.

Source: Scientific Reports

DOI: 10.1038/srep02026

Authors: Arturo Buscarino, Lucia Valentina Gambuzza, Maurizio Porfiri, Luigi Fortuna, Mattia Frasca

Institutions: University of Catania, New York University

Language: English

Topic: Nonlinear Dynamics and Pattern Formation

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,690

Funders: National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation