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 …

Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

Revealing complicated behaviors from time series constitutes a fundamental problem of
continuing interest and it has attracted a great deal of attention from a wide variety of fields …

This paper presents a new approach for analysing the structural properties of time series
from complex systems. Starting from the concept of recurrences in phase space, the …

Complex networks are an important paradigm of modern complex systems sciences which
allows quantitatively assessing the structural properties of systems composed of different …

Chaotic dynamics is widely used to design pseudo-random number generators and for other
applications, such as secure communications and encryption. This paper aims to study the …

The arrangements of particles and forces in granular materials have a complex organization
on multiple spatial scales that range from local structures to mesoscale and system-wide …

Recurrence plots and recurrence quantification analysis have become popular in the last
two decades. Recurrence based methods have on the one hand a deep foundation in the …

Visibility graph has established itself as a powerful tool for analyzing time series. We in this
paper develop a novel multiscale limited penetrable horizontal visibility graph (MLPHVG) …

Percolation establishes the connectivity of complex networks and is one of the most
fundamental critical phenomena for the study of complex systems. On simple networks …