activity
20172021
most citedStatistical Inference in Political Networks Research

19 citations · 19 across the 3 of their papers we have counts for

collaborators

6 papers

stat.AP2021

Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model

Christian S. Schmid, Ted Hsuan Yun Chen, Bruce A. Desmarais

The significance and influence of US Supreme Court majority opinions derive in large part from opinions' roles as precedents for future opinions. A growing body of literature seeks…

cs.SI2019

STAND: A Spatio-Temporal Algorithm for Network Diffusion Simulation

Fangcao Xu, Bruce Desmarais, Donna Peuquet

Information, ideas, and diseases, or more generally, contagions, spread over space and time through individual transmissions via social networks, as well as through external source…

stat.AP2018

Triangulating War: Network Structure and the Democratic Peace

Benjamin Campbell, Skyler Cranmer, Bruce Desmarais

Decades of research has found that democratic dyads rarely exhibit violent tendencies, making the democratic peace arguably the principal finding of Peace Science. However, the dem…

stat.ME2018

The Hyperedge Event Model

Bomin Kim, Aaron Schein, Bruce A. Desmarais +1

We introduce the hyperedge event model (HEM)---a generative model for events that can be represented as directed edges with one sender and one or more receivers or one receiver and…

stat.CO2017

Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap

Christian S. Schmid, Bruce A. Desmarais

With the growth of interest in network data across fields, the Exponential Random Graph Model (ERGM) has emerged as the leading approach to the statistical analysis of network data…

stat.AP201719 cited

Statistical Inference in Political Networks Research

Bruce A. Desmarais, Skyler J. Cranmer

Researchers interested in statistically modeling network data have a well-established and quickly growing set of approaches from which to choose. Several of these methods have been…