Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of […]

Despite significant efforts devoted to understanding the underlying complexity and emergence of collective movement in animal groups, the role of […]

Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static […]

Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in […]

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

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

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

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

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

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