Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Converting high-dimensional complex networks to lower-dimensional ones preserving synchronization features

Naseri, N., Parastesh, F., Ghassemi, F., Jafari, S., Schöll, E., Kurths, J. (2022): Converting high-dimensional complex networks to lower-dimensional ones preserving synchronization features. - EPL (Europhysics Letters), 140, 2, 21001.
https://doi.org/10.1209/0295-5075/ac98de

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Naseri_2022_EPL_140_21001.pdf (Verlagsversion), 2MB
 
Datei-Permalink:
-
Name:
Naseri_2022_EPL_140_21001.pdf
Beschreibung:
-
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Naseri, Nafise1, Autor
Parastesh, Fatemeh1, Autor
Ghassemi, Farnaz1, Autor
Jafari, Sajad1, Autor
Schöll, Eckehard2, Autor              
Kurths, Jürgen2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Studying the stability of synchronization of coupled oscillators is one of the prominent topics in network science. However, in most cases, the computational cost of complex network analysis is challenging because they consist of a large number of nodes. This study includes overcoming this obstacle by presenting a method for reducing the dimension of a large-scale network, while keeping the complete region of stable synchronization unchanged. To this aim, the first and last non-zero eigenvalues of the Laplacian matrix of a large network are preserved using the eigen-decomposition method and Gram-Schmidt orthogonalization. The method is only applicable to undirected networks and the result is a weighted undirected network with smaller size. The reduction method is studied in a large-scale a small-world network of Sprott-B oscillators. The results show that the trend of the synchronization error is well maintained after node reduction for different coupling schemes.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2022-10-192022-10
 Publikationsstatus: Final veröffentlicht
 Seiten: 7
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1209/0295-5075/ac98de
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
Working Group: Network- and machine-learning-based prediction of extreme events
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: EPL (Europhysics Letters)
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 140 (2) Artikelnummer: 21001 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals132
Publisher: IOP Publishing