502 citations · 1.3k across the 19 of their papers we have counts for
5 papers · 1 filter
ergm 4: Computational Improvements
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…
Modeling Tie Duration in ERGM-Based Dynamic Network Models
Pavel N. Krivitsky
Krivitsky and Handcock (2014) proposed a Separable Temporal ERGM (STERGM) framework for modeling social networks, which facilitates separable modeling of the tie duration distribut…
Modeling of Dynamic Networks based on Egocentric Data with Durational Information
Pavel N. Krivitsky
Modeling of dynamic networks -- networks that evolve over time -- has manifold applications in many fields. In epidemiology in particular, there is a need for data-driven modeling…
Likelihood-based Inference for Exponential-Family Random Graph Models via Linear Programming
Pavel N. Krivitsky, Alina R. Kuvelkar, David R. Hunter
This article discusses the problem of determining whether a given point, or set of points, lies within the convex hull of another set of points in dimensions. This problem aris…
A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks
Pavel N. Krivitsky, Pietro Coletti, Niel Hens
The last two decades have seen considerable progress in foundational aspects of statistical network analysis, but the path from theory to application is not straightforward. Two la…