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Corrected Bayesian information criterion for stochastic block models
v1v2v3v4v5 (latest)

Corrected Bayesian information criterion for stochastic block models

4 November 2016
Jian-bo Hu
H. Qin
T. Yan
Yunpeng Zhao
ArXiv (abs)PDFHTML

Papers citing "Corrected Bayesian information criterion for stochastic block models"

17 / 17 papers shown
Title
Community Detection in Degree-Corrected Block Models
Community Detection in Degree-Corrected Block Models
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
99
139
0
24 Jul 2016
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
426
188
0
19 Jul 2015
Likelihood-based model selection for stochastic block models
Likelihood-based model selection for stochastic block models
Y. X. R. Wang
Peter J. Bickel
107
184
0
06 Feb 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
117
185
0
16 Dec 2014
How Many Communities Are There?
How Many Communities Are There?
Diego Saldana
Yi Yu
Yang Feng
118
111
0
04 Dec 2014
Rate-optimal graphon estimation
Rate-optimal graphon estimation
Chao Gao
Yu Lu
Harrison H. Zhou
150
221
0
21 Oct 2014
Impact of regularization on Spectral Clustering
Impact of regularization on Spectral Clustering
Antony Joseph
Bin Yu
140
164
0
05 Dec 2013
Hypothesis Testing for Automated Community Detection in Networks
Hypothesis Testing for Automated Community Detection in Networks
Peter J. Bickel
Purnamrita Sarkar
116
204
0
12 Nov 2013
Nonparametric graphon estimation
Nonparametric graphon estimation
P. Wolfe
S. Olhede
156
203
0
23 Sep 2013
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
99
201
0
19 Dec 2012
Pseudo-likelihood methods for community detection in large sparse
  networks
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini
Aiyou Chen
Peter J. Bickel
Elizaveta Levina
218
408
0
10 Jul 2012
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
197
221
0
04 Jul 2012
Consistency of community detection in networks under degree-corrected
  stochastic block models
Consistency of community detection in networks under degree-corrected stochastic block models
Yunpeng Zhao
Elizaveta Levina
Ji Zhu
216
427
0
18 Oct 2011
Consistency of maximum-likelihood and variational estimators in the
  Stochastic Block Model
Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model
Alain Celisse
J. Daudin
L. Pierre
103
198
0
17 May 2011
Stochastic blockmodels with growing number of classes
Stochastic blockmodels with growing number of classes
David S. Choi
P. Wolfe
E. Airoldi
234
259
0
21 Nov 2010
Spectral clustering and the high-dimensional stochastic blockmodel
Spectral clustering and the high-dimensional stochastic blockmodel
Karl Rohe
S. Chatterjee
Bin Yu
261
936
0
09 Jul 2010
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodels
E. Airoldi
David M. Blei
S. Fienberg
Eric Xing
509
2,122
0
30 May 2007
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