136 citations · 199 across the 14 of their papers we have counts for
16 papers
The study of short texts in digital politics: Document aggregation for topic modeling
Nitheesha Nakka, Omer F. Yalcin, Bruce A. Desmarais +2
Statistical topic modeling is widely used in political science to study text. Researchers examine documents of varying lengths, from tweets to speeches. There is ongoing debate on…
Political Elites in the Attention Economy: Visibility Over Civility and Credibility?
Ahana Biswas, Yu-Ru Lin, Yuehong Cassandra Tai +1
Elected officials have privileged roles in public communication. In contrast to national politicians, whose posting content is more likely to be closely scrutinized by a robust eco…
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…
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…
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…
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…
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…
Weighted Exponential Random graph models: Scope and large network limits
Shankar Bhamidi, Suman Chakraborty, Skyler Cranmer +1
We study models of weighted exponential random graphs in the large network limit. These models have recently been proposed to model weighted network data arising from a host of app…
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…
What can we Learn from Predictive Modeling?
Skyler J. Cranmer, Bruce A. Desmarais
The large majority of inferences drawn in empirical political research follow from model-based associations (e.g. regression). Here, we articulate the benefits of predictive modeli…
Models, Methods and Network Topology: Experimental Design for the Study of Interference
Jake Bowers, Bruce A. Desmarais, Mark Frederickson +3
How should a network experiment be designed to achieve high statistical power? Ex- perimental treatments on networks may spread. Randomizing assignment of treatment to nodes enhanc…
The Role of Race, Ethnicity, and Gender in the Congressional Cosponsorship Network
Alison Craig, Skyler J. Cranmer, Bruce A. Desmarais +2
Previous research indicates that race, ethnicity, and gender influence legislative behavior in important ways. The bulk of this research, however, focuses on the way these characte…
A Critique of Dyadic Design
Skyler J. Cranmer, Bruce A. Desmarais
Dyadic research designs concern data that comprises interactions among actors. Dyadic approaches unambiguously constitute the most frequent designs employed in the empirical study…
Science Use in Regulatory Impact Analysis: The Effects of Political Attention and Controversy
Mia Costa, Bruce A. Desmarais, John A. Hird
Scholars, policymakers, and research sponsors have long sought to understand the conditions under which scientific research is used in the policymaking process. Recent research has…
Stochastic Weighted Graphs: Flexible Model Specification and Simulation
James D. Wilson, Matthew J. Denny, Shankar Bhamidi +2
In most domains of network analysis researchers consider networks that arise in nature with weighted edges. Such networks are routinely dichotomized in the interest of using availa…
Statistical Inference for Valued-Edge Networks: Generalized Exponential Random Graph Models
Bruce A. Desmarais, Skyler J. Cranmer
Across the sciences, the statistical analysis of networks is central to the production of knowledge on relational phenomena. Because of their ability to model the structural genera…