This article discusses the stochastic actor-oriented model for analyzing panel data of
networks. The model is defined as a continuous-time Markov chain, observed at two or more …

International institutions such as treaties and organizations shape, and are shaped by, the
large web-like architecture of global governance. Yet we know little about what this …

The last decade has seen substantial advances in statistical techniques for the analysis of
network data, as well as a major increase in the frequency with which these tools are used …

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 …

How do states achieve status? Although we rely on status to explain important phenomena
in international politics—such as wars and the foreign policy of emerging powers—we still …

Climate change mitigation policy is driven by scientific knowledge and involves actors from
the international, national and local decision-making levels. This multi-level and cross …

This article resuscitates the idea of structural power in world politics by linking it to modern
complex network science, presents a theoretical framework for understanding how global …

This unique textbook provides an introduction to statistical inference with network data. The
authors present a self-contained derivation and mathematical formulation of methods …

The large majority of inferences drawn in empirical political research follow from model-
based associations (eg, regression). Here, we articulate the benefits of predictive modeling …

Cooperation helps states realize mutual gains, but mistrust and disagreements over
institutional design inhibit cooperation. This article develops a network explanation for how …