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  Bursty switching dynamics promotes the collapse of network topologies

Zeng, Z., Feng, M., Perc, M., Kurths, J. (2025): Bursty switching dynamics promotes the collapse of network topologies. - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481, 2310, 20240936.
https://doi.org/10.1098/rspa.2024.0936

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_32320 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_32320_1
Genre: Zeitschriftenartikel

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 Urheber:
Zeng, Ziyan1, Autor
Feng, Minyu1, Autor
Perc, Matjaž1, Autor
Kurths, Jürgen2, Autor           
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Time-varying connections are crucial in understanding the structures and dynamics of complex networks. In this paper, we propose a continuous-time switching topology model for temporal networks that are driven by bursty behaviour and study the effects on network structure and dynamic processes. Each edge can switch between an active and a dormant state, leading to intermittent activation patterns that are characterized by a renewal process. We analyse the stationarity of the network activation scale and emerging degree distributions by means of the Markov chain theory. We show that switching dynamics can promote the collapse of network topologies by reducing heterogeneities and forming isolated components in the underlying network. Our results indicate that switching topologies can significantly influence random walks in different networks and promote cooperation in donation games. Our research thus provides a simple quantitative framework to study network dynamics with temporal and intermittent interactions across social and technological networks.

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Sprache(n): eng - English
 Datum: 2025-03-262025-03-26
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1098/rspa.2024.0936
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
 Art des Abschluß: -

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Titel: Proceedings of the Royal Society A : Mathematical, Physical and Engineering Sciences
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 481 (2310) Artikelnummer: 20240936 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/201802091
Publisher: The Royal Society