English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Hypernetworks induce stable hyperlocking

Authors

Nijholt,  Eddie
External Organizations;

Pereira,  Tiago
External Organizations;

Wolfrum,  Matthias
External Organizations;

Chakraborty,  Sagnik
External Organizations;

Kiss,  István Z.
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Nijholt_2026_s41467-026-74556-1.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Nijholt, E., Pereira, T., Wolfrum, M., Chakraborty, S., Kiss, I. Z., Kurths, J. (2026): Hypernetworks induce stable hyperlocking. - Nature Communications, 17, 7947.
https://doi.org/10.1038/s41467-026-74556-1


Cite as: https://publications.pik-potsdam.de/pubman/item/item_35188
Abstract
Hypernetworks capture coupling structures where interactions extend beyond pairs to groups of three or more units, called hyperedges. They are of increasing importance for many systems such as the brain, social groups, ecosystems, and the climate. We describe here a synchronization phenomenon that is distinctive for hypernetworks. We uncover that in a system of three coupled oscillators with resonant frequencies, the coupling by a triadic hypernetwork motif, where a third node modulates the interaction between two others, can induce a stable locking of a phase triplet, while no pairwise locking is observed. Using normal form transformations and phase reduction, we derive analytically how a specific choice of the coupling functions induces this hyperlocking. We confirm our predictions with both numerical simulations and chemical experiments. Our findings uncover a new synchronization mechanism intrinsic to higher-order interactions and open new directions for controlling real-world complex dynamics beyond pairwise frameworks.