June 7th, 2021

ordpy: A Python package for data analysis with permutation entropy and ordinal network methods

Since Bandt and Pompe’s seminal work, permutation entropy has been used in several applications and is now an essential tool […]

November 30th, 2020

Collective dynamics of stock market efficiency

Summarized by the efficient market hypothesis, the idea that stock prices fully reflect all available information is always confronted with […]

November 4th, 2020

Mapping images into ordinal networks

An increasing abstraction has marked some recent investigations in network science. Examples include the development of algorithms that map time […]

October 3rd, 2019

Gender difference in candidature processes for Brazilian elections

Researchers of several areas have reported that there are still significant gender differences in their performances within different social systems, […]

October 3rd, 2019

Characterizing stochastic time series with ordinal networks

Approaches for mapping time series to networks have become essential tools for dealing with the increasing challenges of characterizing data […]

June 26th, 2019

Effects of changing population or density on urban carbon dioxide emissions

The question of whether urbanization contributes to increasing carbon dioxide emissions has been mainly investigated via scaling relationships with population […]

January 3rd, 2019

Estimating physical properties from liquid crystal textures via machine learning and complexity-entropy methods

Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via […]

December 12th, 2018

Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market

The efficient market hypothesis has far-reaching implications for financial trading and market stability. Whether or not cryptocurrencies are informationally efficient […]

July 20th, 2018

History of art paintings through the lens of entropy and complexity

Art is the ultimate expression of human creativity that is deeply influenced by the philosophy and culture of the corresponding […]

January 18th, 2018

Characterization of Time Series Via Rényi Complexity-Entropy Curves

One of the most useful tools for distinguishing between chaotic and stochastic time series is the so-called complexity-entropy causality plane. […]