In 2013, Karsten Keller, Jürgen Kurths, and one of us (JMA) guest edited an issue of the
European Physical Journal Special Topics, entitled Recent Progress in Symbolic Dynamics …

A recently proposed methodology called the Horizontal Visibility Graph (HVG)[Luque et al.,
Phys. Rev. E., 80, 046103 (2009)] that constitutes a geometrical simplification of the well …

We present the asymptotic distribution of the Rényi and Tsallis/Havrda–Charvát entropies
and the Fisher information measure of ordinal patterns embedding their serial correlation …

In this study, the Hénon map was analyzed using quantifiers from information theory in order
to compare its dynamics to experimental data from brain regions known to exhibit chaotic …

Understanding the structure and the dynamics of networks is of paramount importance for
many scientific fields that rely on network science. Complex network theory provides a …

We present a new approach for handwritten signature classification and verification based
on descriptors stemming from time causal information theory. The proposal uses the …

This paper studies the informational efficiency of the gold market, and its variability due to
economic distress situations. The period under study goes from 1968 until 2017. We use …

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 …

In this work, we propose a solution for detecting botnet attacks on the Internet of Things (IoT)
by identifying anomalies in the temporal dynamics of their devices. Given their limited …

This article proposes TSCLAS, a time series classification strategy for the Internet of Things
(IoT) data, based on the class separability analysis of their temporal dynamics. Given the …