Models with intractable normalizing functions arise frequently in statistics. Common
examples of such models include exponential random graph models for social networks and …

The xergm package is an implementation of extensions to the exponential random graph
model (ERGM). It acts as a meta-package for multiple constituent packages. One of these …

Simulations of intrinsically disordered proteins (IDPs) pose numerous challenges to
comparative analysis, prominently including highly dynamic conformational states and a …

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 …

Social psychologists focus on the microlevel features that define interaction, often attending
to dyads and triads. We argue that there also is utility in studying how configurations of four …

Protein aggregation can produce a wide range of states, ranging from fibrillar structures and
oligomers to unstructured and semistructured gel phases. Recent work has shown that many …

Motifs represent local subgraphs that are overrepresented in networks. Several disciplines
document multiple instances in which motifs appear in graphs and provide insight into the …

The paper builds on the framework proposed by Pattison and Snijders (2012) for specifying
exponential random graph models (ERGMs) for social networks. We briefly review the two …

Amyloid fibrils are locally ordered protein aggregates that self-assemble under a variety of
physiological and in vitro conditions. Their formation is of fundamental interest as a physical …

The time scales of long-time atomistic molecular dynamics simulations are typically reported
in microseconds, while the time scales for experiments studying the kinetics of amyloid fibril …