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 […]

June 7th, 2021

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

Since Bandt and Pompe‚Äôs 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

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 […]

January 4th, 2018

The dynamical structure of political corruption networks

Corruptive behaviour in politics limits economic growth, embezzles public funds, and promotes socio-economic inequality in modern democracies. We analyse well-documented […]

October 27th, 2015

Characterization of river flow fluctuations via horizontal visibility graphs

We report on a large-scale characterization of river discharges by employing the network framework of the horizontal visibility graph. By […]