Summary
A data-driven approach has been developed to provide the equations of the Hopf normal form from time-series data. The coefficients of the numerically constructed flow yield the Poincaré-Lyapunov constant, an important quantity determining the criticality of the Hopf bifurcations, as well as the scaling of its amplitude. Error analysis demonstrates the efficacy of the method.
