Self-organized bistability on scale-free networks

TL;DR

This paper extends the concept of self-organized bistability to scale-free networks, revealing how network structure influences critical dynamics and switching behavior, with implications for understanding neurological phenomena like seizures.

Contribution

It introduces a theoretical model of SOB on scale-free networks, highlighting the role of network topology in criticality and bistability phenomena.

Findings

SOB on scale-free networks arises from facilitated criticality.

Switching behavior is linked to spatial and temporal self-organization.

Model replicates properties of epileptic seizure dynamics.

Abstract

A dynamical system approaching the first-order transition can exhibit a specific type of critical behavior known as self-organized bistability (SOB). It lies in the fact that the system can permanently switch between the coexisting states under the self-tuning of a control parameter. Many of these systems have a network organization that should be taken into account to understand the underlying processes in detail. In the present paper, we theoretically explore an extension of the SOB concept on the scale-free network under coupling constraints. As provided by the numerical simulations and mean-field approximation in the thermodynamic limit, SOB on scale-free networks originates from facilitated criticality reflected on both macro- and mesoscopic network scales. We establish that the appearance of switches is rooted in spatial self-organization and temporal self-similarity of the network's critical dynamics and replicates extreme properties of epileptic seizure recurrences. Our results, thus, indicate that the proposed conceptual model is suitable to deepen the understanding of emergent collective behavior behind neurological diseases.