Path-dependent Dynamics Induced by Rewiring Networks of Inertial Oscillators

TL;DR

This paper investigates how time-varying network structures influence synchronization in inertial oscillator systems, revealing hysteresis and persistent effects of rewiring on collective dynamics.

Contribution

It demonstrates that network rewiring schemes can induce lasting changes in synchronization levels in inertial oscillator networks, highlighting the importance of network evolution paths.

Findings

Hysteretic synchronization behavior observed during network density variation.

Rewiring schemes significantly alter global synchrony levels.

Changes in network topology effects persist after returning to initial configuration.

Abstract

In networks of coupled oscillators, it is of interest to understand how interaction topology affects synchronization. Many studies have gained key insights into this question by studying the classic Kuramoto oscillator model on static networks. However, new questions arise when network structure is time-varying or when the oscillator system is multistable, the latter of which can occur when an inertial term is added to the Kuramoto model. While the consequences of evolving topology and multistability on collective behavior have been examined separately, real-world systems such as gene regulatory networks and the brain can exhibit these properties simultaneously. How does the rewiring of network connectivity affect synchronization in systems with multistability, where different paths of network evolution may differentially impact system dynamics? To address this question, we study the effects of time-evolving network topology on coupled Kuramoto oscillators with inertia. We show that hysteretic synchronization behavior occurs when the network density of coupled inertial oscillators is slowly varied as the dynamics evolve. Moreover, we find that certain fixed-density rewiring schemes induce significant changes to the level of global synchrony, and that these changes remain after the network returns to its initial configuration and are robust to a wide range of network perturbations. Our findings suggest that the specific progression of network topology, in addition to its initial or final static structure, can play a considerable role in modulating the collective behavior of systems evolving on complex networks.