On the role of higher-order interactions towards first synchronization time
Dhrubajyoti Biswas, Pintu Patra, and Arpan Banerjee

TL;DR
This paper derives an analytical expression for the first synchronization time in complex networks with higher-order interactions, revealing how interaction order and coupling strength influence synchronization speed.
Contribution
It introduces an analytical framework for understanding the impact of higher-order interactions on synchronization timing in complex networks.
Findings
Increasing coupling strengths speeds up synchronization.
Triadic interactions accelerate synchronization.
Higher-order interactions can delay convergence, sometimes faster than pairwise interactions.
Abstract
Understanding how large complex networks achieve synchronization is a problem of fundamental interest, and is typically studied in the asymptotic steady-state regime. In contrast, this study investigates how higher-order interactions affect the time required to reach steady-state synchronization in a complex dynamical system. To this end, an analytical expression for the first synchronization time is derived using the Ott-Antonsen ansatz on a Kuramoto oscillator network with higher-order interactions. Subsequent numerics reveal that increasing coupling strengths accelerates the transition to synchronization, whereas increasing the interaction order produces non-monotonic behavior. In particular, the inclusion of triadic interactions accelerates synchronization, whereas further incorporating higher-order interactions progressively delays convergence to the steady state, in some regimes…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
