In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …

Conventional, neoclassical economics assumes perfectly rational agents (firms, consumers,
investors) who face well-defined problems and arrive at optimal behaviour consistent with …

Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …

Frailty in aging marks a state of decreased reserves resulting in increased vulnerability to
adverse outcomes when exposed to stressors. This Perspective synthesizes the evidence …

Traffic flow analysis, prediction and management are keystones for building smart cities in
the new era. With the help of deep neural networks and big traffic data, we can better …

Liberals claim that globalization has led to fragmentation and decentralized networks of
power relations. This does not explain how states increasingly “weaponize …

THE field of fluid mechanics involves a range of rich and vibrant problems with complex
dynamics stemming from instabilities, nonlinearities, and turbulence. The analysis of these …

Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

This provocative new introduction to the field of digital sociology offers a critical overview of
interdisciplinary debates about new ways of knowing society that are emerging today at the …

BackgroundResearchers have studied psychological disorders extensively from a common
cause perspective, in which symptoms are treated as independent indicators of an …