The ergm package supports the statistical analysis and simulation of network data. It
anchors the statnet suite of packages for network analysis in R introduced in a special issue …

The recent fusion of network science and neuroscience has catalyzed a paradigm shift in
how we study the brain and led to the field of brain network analysis. Brain network analyses …

Exponential-family Random Graph Models (ERGMs) constitute a large statistical framework
for modeling dense and sparse random graphs with short-or long-tailed degree distributions …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

The onset of the COVID-19 pandemic has attracted significant attention on social media
platforms as these platforms provide users unparalleled access to 'information'from around …

Neuro‐imaging data can often be represented as statistical networks, especially for
functional magnetic resonance imaging (fMRI) data, where brain regions are defined as …

A simple stochastic process is described which provides a useful basis for generating some
types of random networks. The process is based on an iterative building block technique that …

With the growth of the social economy and technology, innovation networks have emerged
as one of the most significant methods for analyzing the evolution of industrial innovation …

The ergm package supports the statistical analysis and simulation of network data. It
anchors the statnet suite of packages for network analysis in R introduced in a special issue …

Background Existing research has demonstrated that student characteristics, such as
race/ethnicity, sex, and personal beliefs about engineering knowledge, shape students' …