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  The Multiplex Decomposition: An Analytic Framework for Multilayer Dynamical Networks

Berner, R., Mehrmann, V., Schöll, E., Yanchuk, S. (2021): The Multiplex Decomposition: An Analytic Framework for Multilayer Dynamical Networks. - SIAM Journal on Applied Dynamical Systems, 20, 4, 1752-1772.
https://doi.org/10.1137/21M1406180

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 Creators:
Berner, Rico1, Author
Mehrmann, Volker1, Author
Schöll, Eckehard2, Author              
Yanchuk, Serhiy1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Free keywords: multiplex networks; multiplex decomposition; coupled oscillators; master stability function; complex 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 simultaneously triagonalizable. 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.

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 Dates: 2021-09-012021-10-052021-10-05
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1137/21M1406180
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Quantitative Methods
 Degree: -

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Title: SIAM Journal on Applied Dynamical Systems
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 20 (4) Sequence Number: - Start / End Page: 1752 - 1772 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journal-applied-dynamical-systems
Publisher: Society for Industrial and Applied Mathematics (SIAM)