138 citations · 314 across the 4 of their papers we have counts for
5 papers
Approximations for STERGMs Based on Cross-Sectional Data
Chad Klumb, Martina Morris, Steven M. Goodreau +1
Temporal exponential-family random graph models (TERGMs) are a flexible class of network models for the dynamics of tie formation and dissolution. In practice, separable TERGMs (ST…
ergm 4: New features
Pavel N. Krivitsky, David R. Hunter, Martina Morris +1
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…
Key Questions for Modelling COVID-19 Exit Strategies
Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40
Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…
Forward Reachable Sets: Analytically derived properties of connected components for dynamic networks
Benjamin Armbruster, Li Wang, Martina Morris
Formal analysis of the emergent structural properties of dynamic networks is largely uncharted territory. We focus here on the properties of forward reachable sets (FRS) as a funct…
Adjusting for Network Size and Composition Effects in Exponential-Family Random Graph Models
Pavel N. Krivitsky, Mark S. Handcock, Martina Morris
Exponential-family random graph models (ERGMs) provide a principled way to model and simulate features common in human social networks, such as propensities for homophily and frien…