activity
20052020
most citedUsing symbolic networks to analyse dynamical properties of disease outbreaks

5 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

physics.data-an2020★ 1 cited

Ordinal spectrum: a frequency domain characterization of complex time series

Mario Chavez, Johann H. Martinez

Although classical spectral analysis is a natural approach to characterise linear systems, it cannot describe a chaotic dynamics. Here, we propose the ordinal spectrum, a method ba…

physics.soc-ph2019★ 5 cited

Using symbolic networks to analyse dynamical properties of disease outbreaks

José L. Herrera-Diestra, Javier M. Buldú, Mario Chávez +1

We introduce a new methodology to analyze the evolution of epidemic time series, which is based on the construction of epidemic networks. First, we translate the time series into o…

physics.soc-ph2018

In defence of the simple: Euclidean distance for comparing complex networks

Johann H. Martínez, Mario Chavez

To improve our understanding of connected systems, different tools derived from statistics, signal processing, information theory and statistical physics have been developed in the…

q-bio.NC2017

Functional brain networks reveal the existence of cognitive reserve and the interplay between network topology and dynamics

Johann H. Martínez, María E. López, Pedro Ariza +6

We investigated how the organization of functional brain networks was related to cognitive reserve (CR) during a memory task in healthy aging. We obtained the magnetoencephalograph…

cond-mat.dis-nn2005★ 2 cited

Synchronization in Complex Networks: a Reply on a recent Comment

S. Boccaletti, M. Chavez, A. Amann +1

We clarify a number of points raised in [Matias, arXiv:cond-mat/0507471v2 (2005)].