Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …

Global warming, extreme climate events, earthquakes and their accompanying
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …

The Arctic's rapid sea ice decline may influence global weather patterns, making the
understanding of Arctic weather variability (WV) vital for accurate weather forecasting and …

Studying event time series is a powerful approach for analyzing the dynamics of complex
dynamical systems in many fields of science. In this paper, we describe the method of event …

The last decade has witnessed a number of important and exciting developments that had
been achieved for improving recurrence plot-based data analysis and to widen its …

Over the last two decades the complex network paradigm has proven to be a fruitful tool for
the investigation of complex systems in many areas of science; for example, the Internet …

Behavioral experiments evidence that attention is not maintained at a constant level, but
fluctuates with time. Recent studies associate such fluctuations with dynamics of attention …

A bstract We present a novel technique for the analysis of proton-proton collision events
from the ATLAS and CMS experiments at the Large Hadron Collider. For a given final state …

Since Bandt and Pompe's seminal work, permutation entropy has been used in several
applications and is now an essential tool for time series analysis. Beyond becoming a …