Social and biological contagions are influenced by the spatial embeddedness of networks. Historically, many epidemics spread as a wave across part of the Earth’s surface; however, in modern contagions ...

Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

A new study reveals how biological branching networks use surface geometry to shape blood vessels, brains, and plants.

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

Headed by Professor John Moriarty and Dr Amaranta Membrillo Solis of Queen Mary’s School of Mathematical Sciences, along with collaborators from the University of Nottingham, UCL and École Normale ...