Network Cross-Validation for Determining the Number of Communities in Network Data
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Network Cross-Validation for Determining the Number of Communities in Network Data
Authors
Keywords
-
Journal
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Volume 113, Issue 521, Pages 241-251
Publisher
Informa UK Limited
Online
2016-10-22
DOI
10.1080/01621459.2016.1246365
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- How Many Communities Are There?
- (2017) D. Franco Saldaña et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- A goodness-of-fit test for stochastic block models
- (2016) Jing Lei ANNALS OF STATISTICS
- Exact Recovery in the Stochastic Block Model
- (2016) Emmanuel Abbe et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Fast community detection by SCORE
- (2015) Jiashun Jin ANNALS OF STATISTICS
- Consistency of spectral clustering in stochastic block models
- (2015) Jing Lei et al. ANNALS OF STATISTICS
- Rate-optimal graphon estimation
- (2015) Chao Gao et al. ANNALS OF STATISTICS
- Matrix estimation by Universal Singular Value Thresholding
- (2015) Sourav Chatterjee ANNALS OF STATISTICS
- Hypothesis testing for automated community detection in networks
- (2015) Peter J. Bickel et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Model selection for degree-corrected block models
- (2014) Xiaoran Yan et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Consistency of community detection in networks under degree-corrected stochastic block models
- (2013) Yunpeng Zhao et al. ANNALS OF STATISTICS
- Pseudo-likelihood methods for community detection in large sparse networks
- (2013) Arash A. Amini et al. ANNALS OF STATISTICS
- Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
- (2013) Daniel L. Sussman et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Spectral redemption in clustering sparse networks
- (2013) F. Krzakala et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown
- (2013) Donniell E. Fishkind et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
- Improved Bayesian inference for the stochastic block model with application to large networks
- (2012) Aaron F. McDaid et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
- (2012) Daniel L. Sussman et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Variational Bayesian inference and complexity control for stochastic block models
- (2012) P Latouche et al. STATISTICAL MODELLING
- Selecting the number of components in principal component analysis using cross-validation approximations
- (2011) Julie Josse et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
- (2011) Aurelien Decelle et al. PHYSICAL REVIEW E
- Stochastic blockmodels and community structure in networks
- (2011) Brian Karrer et al. PHYSICAL REVIEW E
- Community extraction for social networks
- (2011) Y. Zhao et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Bi-cross-validation of the SVD and the nonnegative matrix factorization
- (2009) Art B. Owen et al. Annals of Applied Statistics
- A nonparametric view of network models and Newman–Girvan and other modularities
- (2009) Peter J. Bickel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation