The multiplex decomposition: An analytic framework for multilayer dynamical networks

Abstract

Multiplex networks are networks composed of multiple layers such that the number of nodes in all layers is the same and the adjacency matrices between the layers are diagonal. We consider the special class of multiplex networks where the adjacency matrices for each layer are commuting pairwise. For such networks, we derive the relation between the spectrum of the multiplex network and the eigenvalues of the individual layers. As an application, we propose a generalized master stability approach that allows for a simplified, low-dimensional description of the stability of synchronized solutions in multiplex networks. We illustrate our result with a duplex network of FitzHugh-Nagumo oscillators. In particular, we show how interlayer interaction can lead to stabilization or destabilization of the synchronous state. Finally, we give explicit conditions for the stability of synchronous solutions in duplex networks of linear diffusive systems.

Synchronization scenarios in three-layer networks with a hub

“…Other relevant applications are communication, supply, and transportation networks, for instance power grids, subway networks, or airtraffic networks 54 . Moreover, multilayer networks are also known to generate and stabilize diverse partial synchronization patterns in adaptive networks 55,56 , where the connectivity changes in time 57 .…”