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 …

Epilepsy is one of the most chronic brain disorder recorded from since 2000 BC. Almost one-
third of epileptic patients experience seizures attack even with medicated treatment. The …

The spatio-temporal features of the velocity field of a fully-developed turbulent channel flow
are investigated through the natural visibility graph (NVG) method, which is able to fully map …

Exploiting the duality between time series and networks, directed horizontal visibility graphs
(DHVGs) are used to perform an unprecedented analysis of the dynamics of stream flow …

This study presents a new approach for complex networks-based analysis of temporal
streamflow dynamics. The novelty comes in the form of using nonlinear dynamic concepts to …

We study the light curves of pulsating variable stars using a complex network approach to
build visibility graphs. We consider various types of variables stars (eg, Cepheids, δ Scuti …

Complex networks theory have gained wider applicability since methods for transformation
of time series to networks were proposed and successfully tested. In the last few years …

Understanding the spatial and temporal variability of rainfall has always been a great
challenge, and the impacts of climate change further complicate this issue. The present …

This study proposes a complex networks-based method to determine the connections
among the stations in a streamflow monitoring network and assess the importance of the …

Complex systems can, to a first approximation, be characterized by the fact that their
dynamics emerging at the macroscopic level cannot be easily explained from the …