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

Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …

This paper provides an analytical review of the social science literature on guanxi. The focus
of this review is on the prevalence and the increasing significance of guanxi during China's …

How do we make the case for “knowledge democracy” in the face of the growing influence of
right-wing figures and movements that denounce experts and expertise? While the threats to …

The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …

The arrangements of particles and forces in granular materials have a complex organization
on multiple spatial scales that range from local structures to mesoscale and system-wide …

We present a selective review of statistical modeling of dynamic networks. We focus on
models with latent variables, specifically, the latent space models and the latent class …

Similarity of nodes is a basic structure quantification in complex networks. Lots of methods in
research on complex networks are based on nodes' similarity such as node's classification …

Analytical sociology focuses on social interactions among individuals and the hard-to-
predict aggregate outcomes they bring about. It seeks to identify generalizable mechanisms …

Applying effective methods to identify important nodes in a complex network is highly
invaluable. Recently, in a complex network, finding a powerful leader of the community to …