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  Tweaking synchronization by connectivity modifications

Schultz, P., Peron, T. K. D., Eroglu, D., Stemler, T., Ramírez Ávila, G. M., Rodrigues, F. A., Kurths, J. (2016): Tweaking synchronization by connectivity modifications. - Physical Review E, 93, 062211.
https://doi.org/10.1103/PhysRevE.93.062211

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 Urheber:
Schultz, Paul1, Autor              
Peron, Thomas K. D.1, Autor              
Eroglu, Deniz1, Autor              
Stemler, T.2, Autor
Ramírez Ávila, G. M.2, Autor
Rodrigues, F. A.2, Autor
Kurths, Jürgen1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: Natural and man-made networks often possess locally treelike substructures. Taking such tree networks as our starting point, we show how the addition of links changes the synchronization properties of the network. We focus on two different methods of link addition. The first method adds single links that create cycles of a well-defined length. Following a topological approach, we introduce cycles of varying length and analyze how this feature, as well as the position in the network, alters the synchronous behavior. We show that in particular short cycles can lead to a maximum change of the Laplacian's eigenvalue spectrum, dictating the synchronization properties of such networks. The second method connects a certain proportion of the initially unconnected nodes. We simulate dynamical systems on these network topologies, with the nodes' local dynamics being either discrete or continuous. Here our main result is that a certain number of additional links, with the relative position in the network being crucial, can be beneficial to ensure stable synchronization.

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 Datum: 2016
 Publikationsstatus: Final veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1103/PhysRevE.93.062211
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7203
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Complex Networks
Model / method: Open Source Software
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
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Titel: Physical Review E
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Seiten: - Band / Heft: 93 Artikelnummer: 062211 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150218