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Found 3 papers, 2 papers with code
Inference for Network Regression Models with Community Structure
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 biological sciences.
Non-Uniform Sampling of Fixed Margin Uniform Matrices
Data sets in the form of binary matrices are ubiquitous across scientific domains, and researchers are often interested in identifying and quantifying noteworthy structure.
Methodology
Configuring Random Graph Models with Fixed Degree Sequences
We place particular emphasis on the importance of specifying the appropriate graph labeling (stub-labeled or vertex-labeled) under which to consider a null model, a choice that closely connects the study of random graphs to the study of random contingency tables.
Methodology Social and Information Networks Data Analysis, Statistics and Probability Physics and Society Quantitative Methods
