Two-sample test of stochastic block models

Cites Work

Pseudo-likelihood methods for community detection in large sparse networks
Likelihood-based model selection for stochastic block models
Estimating the number of communities by spectral methods
A nonparametric two-sample hypothesis testing problem for random graphs
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs
Fast community detection by SCORE
Network cross-validation by edge sampling
Network Cross-Validation for Determining the Number of Communities in Network Data
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Coauthorship and citation networks for statisticians
Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices
A mixed effects model for longitudinal relational and network data, with applications to international trade and conflict
Spectral clustering and the high-dimensional stochastic blockmodel
Two moments suffice for Poisson approximations: The Chen-Stein method
Community detection in degree-corrected block models
The asymptotic distributions of the largest entries of sample correlation matrices.
Spectral based hypothesis testing for community detection in complex networks
Consistency of spectral clustering in stochastic block models
Mixed membership stochastic blockmodels
Mixture models and exploratory analysis in networks
Community Detection and Stochastic Block Models
Corrected Bayesian Information Criterion for Stochastic Block Models
Probability Inequalities for Sums of Bounded Random Variables
Achieving Optimal Misclassification Proportion in Stochastic Block Model
Concentration and regularization of random graphs
Hypothesis Testing for Automated Community Detection in Networks
Networks
A goodness-of-fit test for stochastic block models
Using Maximum Entry-Wise Deviation to Test the Goodness of Fit for Stochastic Block Models
A fast algorithm for integrative community detection of multi-layer networks