activity
20242026
most citedCollective dynamics on higher-order networks

12 citations · 12 across the 2 of their papers we have counts for

collaborators

7 papers

nlin.AO202612 cited

Collective dynamics on higher-order networks

Federico Battiston, Christian Bick, Maxime Lucas +3

Higher-order interactions that nonlinearly couple more than two nodes are important in many networked systems, and their effects on collective dynamics are increasingly being studi…

nlin.AO2026

Hodge Decomposition Guides the Optimization of Synchronization over Simplicial Complexes

Cameron Purple, Per Sebastian Skardal, Dane Taylor

Despite growing interest in synchronization dynamics over "higher-order" network models, optimization theory for such systems is limited. Here, we study a family of Kuramoto models…

nlin.AO2025

Mixed higher-order coupling stabilizes new states

Per Sebastian Skardal, Federico Battiston, Maxime Lucas +3

Understanding how higher-order interactions affect collective behavior is a central problem in nonlinear dynamics and complex systems. Most works have focused on a single higher-or…

nlin.AO2025

Macroscopic dynamics of oscillator ensembles with communities, higher-order interactions, and phase lags

Sabina Adhikari, Juan G. Restrepo, Per Sebastian Skardal

We study the effects of phase-frustrated, higher-order interactions in a system of coupled phase oscillators with two communities. We use dimensionality reduction techniques to der…

nlin.AO2024

Deeper but smaller: Higher-order interactions increase linear stability but shrink basins

Yuanzhao Zhang, Per Sebastian Skardal, Federico Battiston +2

A key challenge of nonlinear dynamics and network science is to understand how higher-order interactions influence collective dynamics. Although many studies have approached this q…

eess.SY2024

Suppressing unknown disturbances to dynamical systems using machine learning

Juan G. Restrepo, Clayton P. Byers, Per Sebastian Skardal

Identifying and suppressing unknown disturbances to dynamical systems is a problem with applications in many different fields. Here we present a model-free method to identify and s…