136 citations · 277 across the 10 of their papers we have counts for
12 papers
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…
Infectivity Enhances Prediction of Viral Cascades in Twitter
Weihua Li, Skyler J. Cranmer, Zhiming Zheng +1
Models of contagion dynamics, originally developed for infectious diseases, have proven relevant to the study of information, news, and political opinions in online social systems.…
Inferring Influence Networks from Longitudinal Bipartite Relational Data
Frank W. Marrs, Benjamin W. Campbell, Bailey K. Fosdick +2
Longitudinal bipartite relational data characterize the evolution of relations between pairs of actors, where actors are of two distinct types and relations exist only between disp…
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…
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…
A Theoretical and Empirical Comparison of the Temporal Exponential Random Graph Model and the Stochastic Actor-Oriented Model
Philip Leifeld, Skyler J. Cranmer
The temporal exponential random graph model (TERGM) and the stochastic actor-oriented model (SAOM, e.g., SIENA) are popular models for longitudinal network analysis. We compare the…
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…
Kantian fractionalization predicts the conflict propensity of the international system
Skyler J. Cranmer, Elizabeth J. Menninga, Peter J. Mucha
The study of complex social and political phenomena with the perspective and methods of network science has proven fruitful in a variety of areas, including applications in politic…
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…