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Community detection or clustering is a fundamental task in the analysis of network data.
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“Information-Theoretic Co-clustering”, 2003, pp. 89–98
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Anirban Dasgupta, J.E. Hopcroft and F. McSherry · 2004
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“Co-clustering documents and words using Bipartite Co-clustering documents and words using Bipartite Spectral Graph Partitioning”
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“Bipartite network projection and personal recommendation”
Tao Zhou, Jie Ren, Mat“’us Medo and Yi Zhang · 2007
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“Chi-Sim: A new similarity measure for the co-clustering task”
Gilles Bisson and Fawad Hussain · 2008
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“Graphical Models, Exponential Families, and Variational Inference.”
Martin. Wainwright and M Jordan · 2008
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“A nonparametric view of network models and Newman-Girvan and other modularities.”
Peter Bickel and Aiyou Chen · 2009
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“Identification of regulatory modules in time series gene expression data using a linear time biclustering algorithm”
Sara Madeira, Miguel Teixeira, Isabel Sa-Correia and Arlindo Oliveira · 2010
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“Stochastic blockmodels and community structure in networks”
Brian Karrer and M. Newman · 2011
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“Inference and phase transitions in the detection of modules in sparse networks”
Aurelien Decelle, Florent Krzakala, Cristopher Moore and Lenka Zdeborov“’a · 2011
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“Stochastic Block Models and Reconstruction”, 2012, pp. 1–36
Elchanan Mossel, Joe Neeman and Allan Sly · 2012
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“Consistency of community detection in networks under degree-corrected stochastic block models”
Yunpeng Zhao, Elizaveta Levina and Ji Zhu · 2012
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“Covariate-assisted spectral clustering”, 2014
Norbert Binkiewicz, Joshua Vogelstein and Karl Rohe · 2014
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“Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring”
Daniel O’Connor and Lieven Vandenberghe · 2014
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Chao Gao, Zongming Ma, Anderson. Zhang and Harrison. Zhou · 2015
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“Consistency of spectral clustering in stochastic block models”
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Cheryl. Flynn and Patrick. Perry · 2012
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“Efficient discovery of overlapping communities in massive networks.”
Prem Gopalan and David Blei · 2013
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“Regularized spectral clustering under the degree-corrected stochastic blockmodel”
Tai Qin and Karl Rohe · 2013
Cited alongside, same era.
“A Proof Of The Block Model Threshold Conjecture”
Elchanan Mossel, Joe Neeman and Allan Sly · 2013
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“Community Detection in Networks with Node Features”
Yuan Zhang, Elizaveta Levina and Ji Zhu · 2013
Cited alongside, same era.
“ggmap : Spatial Visualization with”
David Kahle and Hadley Wickham · 2013
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“Community detection thresholds and the weak Ramanujan property”
Laurent Massouli“’e · 2014
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Lei Jing and Alessandro Rinaldo · 2015
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“Exact recovery in the stochastic block model”
Emmanuel Abbe, Afonso Bandeira and Georgina Hall · 2015
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“Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions”
Bruce Hajek, Yihong Wu and Jiaming Xu · 2016
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“Community Detection in Degree-Corrected Block Models”, 2016
Chao Gao, Zongming Ma, Anderson. Zhang and Harrison. Zhou · 2016
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“Co-clustering directed graphs to discover asymmetries and directional communities.”
Karl Rohe, Tai Qin and Bin Yu · 2016
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“Convex Relaxation for Community Detection with Covariates”, 2016, pp. 1–28
Bowei Yan and Purnamrita Sarkar · 2016
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“Structure and inference in annotated networks”
M… Newman and Aaron Clauset · 2016
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“Variational Inference: A Review for Statisticians”
David. Blei, Alp Kucukelbir and Jon. McAuliffe · 2016
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“Pseudo-likelihood methods for community detection in large sparse networks”
Arash. Amini, Aiyou Chen, Peter. Bickel and Elizaveta Levina · 2097
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