November 15th, 2021

Determining liquid crystal properties with ordinal networks and machine learning

Machine learning methods are becoming increasingly important for the development of materials science. In spite of this, the use of […]

November 1st, 2021

Commuting network effect on urban wealth scaling

Urban scaling theory explains the increasing returns to scale of urban wealth indicators by the per capita increase of human […]

August 6th, 2021

Association between productivity and journal impact across disciplines and career age

The association between productivity and impact of scientific production is a long-standing debate in science that remains controversial and poorly […]

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 […]

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 […]

September 27th, 2018

The hidden traits of endemic illiteracy in cities

In spite of the considerable progress towards reducing illiteracy rates, many countries, including developed ones, have encountered difficulty achieving further […]

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 […]

February 3rd, 2018

Unveiling Relationships Between Crime and Property in England and Wales Via Density Scale-Adjusted Metrics and Network Tools

Scale-adjusted metrics (SAMs) are a significant achievement of the urban scaling hypothesis. SAMs remove the inherent biases of per capita […]

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. […]