Learning Latent Block Structure in Weighted Networks

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Learning Latent Block Structure in Weighted Networks

2 April 2014

Christopher Aicher

Abigail Z. Jacobs

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Papers citing "Learning Latent Block Structure in Weighted Networks"

12 / 12 papers shown

Title
Efficiently inferring community structure in bipartite networks D. Larremore A. Clauset Abigail Z. Jacobs 115 184 0 12 Mar 2014
Detecting change points in the large-scale structure of evolving networks Leto Peel A. Clauset 79 239 0 05 Mar 2014
Hierarchical Block Structures and High-resolution Model Selection in Large Networks Tiago P. Peixoto 131 375 0 16 Oct 2013
Adapting the Stochastic Block Model to Edge-Weighted Networks Christopher Aicher Abigail Z. Jacobs A. Clauset 89 75 0 24 May 2013
Parsimonious module inference in large networks Tiago P. Peixoto MoE 103 201 0 19 Dec 2012
Model Selection for Degree-corrected Block Models Xiaoran Yan C. Shalizi Jacob E. Jensen Florent Krzakala Cristopher Moore Lenka Zdeborova Pan Zhang Yaojia Zhu 91 119 0 17 Jul 2012
Comparative Study for Inference of Hidden Classes in Stochastic Block Models Pan Zhang Florent Krzakala J. Reichardt Lenka Zdeborová 95 33 0 10 Jul 2012
Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model Alain Celisse J. Daudin L. Pierre 115 198 0 17 May 2011
Parameter identifiability in a class of random graph mixture models E. Allman C. Matias J. Rhodes 89 54 0 04 Jun 2010
Hierarchical structure and the prediction of missing links in networks A. Clauset Cristopher Moore Mark E. J. Newman 105 2,076 0 04 Nov 2008
A Bayesian Approach to Network Modularity Jake M. Hofman C. Wiggins 173 310 0 21 Sep 2007
Mixed membership stochastic blockmodels E. Airoldi David M. Blei S. Fienberg Eric Xing 511 2,122 0 30 May 2007