Geier, CharlotteCharlotteGeierHoffmann, NorbertNorbertHoffmann2024-07-082024-07-082024-069th International School and Conference on Network Science (NetSci 2024)https://hdl.handle.net/11420/48224This 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.enhttps://creativecommons.org/licenses/by/4.0/nonlinear dynamicsfunctional networksdata-based analysisnetwork topologyinteraction mechanismsComputer Science, Information and General Works::004: Computer SciencesNatural Sciences and Mathematics::510: MathematicsTechnology::621: Applied Physics::621.3: Electrical Engineering, Electronic EngineeringConference Poster not in Proceedings10.15480/882.1312410.15480/882.13124Conference Poster