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Embedding dynamics into network topology

Citation Link: https://doi.org/10.15480/882.13124
Publikationstyp
Conference Poster not in Proceedings
Date Issued
2024-06
Sprache
English
Author(s)
Geier, Charlotte  orcid-logo
Strukturdynamik M-14  
Hoffmann, Norbert  orcid-logo
Strukturdynamik M-14  
TORE-DOI
10.15480/882.13124
TORE-URI
https://hdl.handle.net/11420/48224
Citation
9th International School and Conference on Network Science (NetSci 2024)
Contribution to Conference
9th International School and Conference on Network Science, NetSci 2024  
Peer Reviewed
false
Cites
https://doi.org/10.1016/j.jsv.2024.118544
https://doi.org/10.1016/j.physleta.2012.10.008
https://doi.org/10.1063/1.4934554
https://doi.org/10.1137/0201010
https://doi.org/10.1016/0020-0190(94)90047-7
This study explores the relationship between network topology and dynamic behavior by addressing the phenomenon of multi-stability in complex systems. Utilizing a network of coupled nonlinear oscillators which collectively exhibit multistability, we investigate how the systems dynamics can be embedded into a network topology. This approach contrasts a structural network, given by the known geometrical coupling between individual oscillators, with a functional network inferred from system dynamics. The resulting dynamics-based networks show distinct structures depending on the system state.
Subjects
nonlinear dynamics
functional networks
data-based analysis
network topology
interaction mechanisms
DDC Class
004: Computer Sciences
510: Mathematics
621.3: Electrical Engineering, Electronic Engineering
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
More Funding Information
project number 510246309
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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NetSci_24_poster_geier.pdf

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