Spectral clustering in the dynamic stochastic block model
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[1] E. Arias-Castro,et al. Community Detection in Sparse Random Networks , 2013, 1308.2955.
[2] Bin Yu,et al. Spectral clustering and the high-dimensional stochastic blockmodel , 2010, 1007.1684.
[3] Andrei Z. Broder,et al. On the second eigenvalue of random regular graphs , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[4] O. Lepskii. Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates , 1992 .
[5] P. Bickel,et al. A nonparametric view of network models and Newman–Girvan and other modularities , 2009, Proceedings of the National Academy of Sciences.
[6] P. Bickel,et al. Role of normalization in spectral clustering for stochastic blockmodels , 2013, 1310.1495.
[7] Bin Yu,et al. Impact of regularization on spectral clustering , 2013, 2014 Information Theory and Applications Workshop (ITA).
[8] Xiao Zhang,et al. Random graph models for dynamic networks , 2016, The European Physical Journal B.
[9] A. Tsybakov,et al. Oracle inequalities for network models and sparse graphon estimation , 2015, 1507.04118.
[10] Uriel Feige,et al. Spectral techniques applied to sparse random graphs , 2005, Random Struct. Algorithms.
[11] E. Mammen,et al. Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectors , 1997 .
[12] Can M. Le,et al. Estimating the number of communities in networks by spectral methods , 2015, ArXiv.
[13] E. Levina,et al. Community extraction for social networks , 2010, Proceedings of the National Academy of Sciences.
[14] Vincent Miele,et al. Statistical clustering of temporal networks through a dynamic stochastic block model , 2015, 1506.07464.
[15] Yun Chi,et al. Evolutionary spectral clustering by incorporating temporal smoothness , 2007, KDD '07.
[16] Harrison H. Zhou,et al. Rate-optimal graphon estimation , 2014, 1410.5837.
[17] Kerstin Vogler,et al. Table Of Integrals Series And Products , 2016 .
[18] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[19] E. Arias-Castro,et al. Community detection in dense random networks , 2014 .
[20] E. Levina,et al. Estimating network edge probabilities by neighborhood smoothing , 2015, 1509.08588.
[21] Patrick J. Wolfe,et al. Network histograms and universality of blockmodel approximation , 2013, Proceedings of the National Academy of Sciences.
[22] A. Rinaldo,et al. Consistency of spectral clustering in stochastic block models , 2013, 1312.2050.
[23] Kevin S. Xu. Stochastic Block Transition Models for Dynamic Networks , 2014, AISTATS.
[24] Le Song,et al. Dynamic mixed membership blockmodel for evolving networks , 2009, ICML '09.
[25] Yihong Gong,et al. Detecting communities and their evolutions in dynamic social networks—a Bayesian approach , 2011, Machine Learning.
[26] Edoardo M. Airoldi,et al. Consistent estimation of dynamic and multi-layer block models , 2014, ICML.
[27] Ji Zhu,et al. Consistency of community detection in networks under degree-corrected stochastic block models , 2011, 1110.3854.
[28] Morten Mørup,et al. Modeling Temporal Evolution and Multiscale Structure in Networks , 2013, ICML.
[29] Jiashun Jin,et al. FAST COMMUNITY DETECTION BY SCORE , 2012, 1211.5803.
[30] Joel A. Tropp,et al. An Introduction to Matrix Concentration Inequalities , 2015, Found. Trends Mach. Learn..
[31] Marianna Pensky,et al. Dynamic network models and graphon estimation , 2016, The Annals of Statistics.
[32] Chao Gao,et al. Achieving Optimal Misclassification Proportion in Stochastic Block Models , 2015, J. Mach. Learn. Res..
[33] Edoardo M. Airoldi,et al. A Survey of Statistical Network Models , 2009, Found. Trends Mach. Learn..
[34] Alfred O. Hero,et al. Adaptive evolutionary clustering , 2011, Data Mining and Knowledge Discovery.
[35] Patrick J. Wolfe,et al. Co-clustering separately exchangeable network data , 2012, ArXiv.
[36] Amit Kumar,et al. A simple linear time (1 + /spl epsiv/)-approximation algorithm for k-means clustering in any dimensions , 2004, 45th Annual IEEE Symposium on Foundations of Computer Science.
[37] Mikhail Belkin,et al. Graphons, mergeons, and so on! , 2016, NIPS.
[38] Eric D. Kolaczyk,et al. Statistical Analysis of Network Data: Methods and Models , 2009 .
[39] Edoardo M. Airoldi,et al. Mixed Membership Stochastic Blockmodels , 2007, NIPS.
[40] E. Xing,et al. A state-space mixed membership blockmodel for dynamic network tomography , 2008, 0901.0135.
[41] Alfred O. Hero,et al. Dynamic Stochastic Blockmodels for Time-Evolving Social Networks , 2014, IEEE Journal of Selected Topics in Signal Processing.