355 citations · 485 across the 15 of their papers we have counts for
19 papers
ECoHeN: A Hypothesis Testing Framework for Extracting Communities from Heterogeneous Networks
Connor P. Gibbs, Bailey K. Fosdick, James D. Wilson
Community discovery is the general process of attaining assortative communities from a network: collections of nodes that are densely connected within yet sparsely connected to the…
Inference for Network Regression Models with Community Structure
Mengjie Pan, Tyler H. McCormick, Bailey K. Fosdick
Network regression models, where the outcome comprises the valued edge in a network and the predictors are actor or dyad-level covariates, are used extensively in the social and bi…
Sampling random graphs with specified degree sequences
Upasana Dutta, Bailey K. Fosdick, Aaron Clauset
The configuration model is a standard tool for uniformly generating random graphs with a specified degree sequence, and is often used as a null model to evaluate how much of an obs…
The causal effect of a timeout at stopping an opposing run in the NBA
Connor Gibbs, Ryan Elmore, Bailey Fosdick
In the summer of 2017, the National Basketball Association reduced the number of total timeouts, along with other rule changes, to regulate the flow of the game. With these rule ch…
Non-Uniform Sampling of Fixed Margin Binary Matrices
Alex Fout, Bailey K. Fosdick, Matthew P. Hitt
Data sets in the form of binary matrices are ubiquitous across scientific domains, and researchers are often interested in identifying and quantifying noteworthy structure. One app…
Regression of binary network data with exchangeable latent errors
Frank W. Marrs, Bailey K. Fosdick
Undirected, binary network data consist of indicators of symmetric relations between pairs of actors. Regression models of such data allow for the estimation of effects of exogenou…