3 citations · 4 across the 2 of their papers we have counts for
6 papers
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…
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…
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…
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…
Role of inter-hemispheric connections in functional brain networks
J. H. Martínez, J. M. Buldú, D. Papo +2
Today the human brain can be modeled as a graph where nodes represent different regions and links stand for statistical interactions between their activities as recorded by differe…
Beware of the Small-World neuroscientist!
David Papo, Massimiliano Zanin, Johann H. Martínez +1
The SW has undeniably been one of the most popular network descriptors in the neuroscience literature. Two main reasons for its lasting popularity are its apparent ease of computat…