Transition network is a powerful tool to analyze nonlinear dynamic characteristics of
complex systems, which characterizes the temporal transition property. Few, if any, existing …

Recurrence network is a typical time series analysis method. However, irregular sampling
may overshadow the dynamic features characterized by traditional recurrence network …

The emergent dynamics of complex systems often arise from the internal dynamical
interactions among different elements and hence is to be modeled using multiple variables …

New techniques for analyzing nonlinear and complex systems continue to be developed in
order to better characterize such systems. In this study, use is made of numerical series that …

The electrocardiogram (ECG) is one of the physiological signals applied in medical clinics to
determine health status. The physiological complexity of the cardiac system is related to age …

Understanding the hidden structures in observational or measured data from realworld
systems like climate, astrophysical systems, or biological systems like brain, heart etc, is a …