Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition.

ABSTRACT: Early-warning signals of delicate design are used to predict critical transitions in complex systems, which makes it possible to render the systems far away from the catastrophic state by introducing timely interventions. Traditional signals including the dynamical network biomarker (DNB), based on statistical properties such as variance and autocorrelation of nodal dynamics, overlook directional interactions and thus have limitations in capturing underlying mechanisms and simultaneously sustaining robustness against noise perturbations. This study therefore introduces a framework of causal network markers (CNMs) by incorporating causality indicators, which reflect the directional influence between variables. Actually, to detect and identify the tipping points ahead of critical transition,

SUBMITTER: Bian S 

PROVIDER: S-EPMC12622457 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature