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

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Schlagwörter: multiplex networks; multiplex decomposition; coupled oscillators; master stability function; complex networks
 Zusammenfassung: 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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 Datum: 2021-09-012021-10-052021-10-05
 Publikationsstatus: Final veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: 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
 Art des Abschluß: -

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Titel: SIAM Journal on Applied Dynamical Systems
Genre der Quelle: Zeitschrift, SCI, Scopus
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Seiten: - Band / Heft: 20 (4) Artikelnummer: - Start- / Endseite: 1752 - 1772 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journal-applied-dynamical-systems
Publisher: Society for Industrial and Applied Mathematics (SIAM)