Hypothesis testing for equality of latent positions in random graphs

Cites Work

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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
A limit theorem for scaled eigenvectors of random dot product graphs
Spectral clustering and the high-dimensional stochastic blockmodel
Vertex nomination schemes for membership prediction
Limit theorems for eigenvectors of the normalized Laplacian for random graphs
Network representation using graph root distributions
Vertex nomination, consistent estimation, and adversarial modification
Consistency of spectral clustering in stochastic block models
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
Hypothesis testing for network data in functional neuroimaging
Consistency of spectral clustering
Diffusion maps
Mixed membership stochastic blockmodels
On the Perturbation of Pseudo-Inverses, Projections and Linear Least Squares Problems
Latent Space Approaches to Social Network Analysis
Community Detection and Stochastic Block Models
A Block Model for Node Popularity in Networks with Community Structure
A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
Matrices
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
Estimation and Clustering in Popularity Adjusted Block Model
Corrected Bayesian Information Criterion for Stochastic Block Models
Achieving Optimal Misclassification Proportion in Stochastic Block Model
Hypothesis Testing for Automated Community Detection in Networks
Simple: Statistical Inference on Membership Profiles in Large Networks
Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes
A goodness-of-fit test for stochastic block models
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure
A statistical interpretation of spectral embedding: the generalised random dot product graph

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