An efficient and principled method for detecting communities in networks
暂无分享,去创建一个
[1] Kathryn B. Laskey,et al. Stochastic blockmodels: First steps , 1983 .
[2] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[3] P. Arabie,et al. An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling , 1975 .
[4] Donald E. Knuth,et al. The Stanford GraphBase - a platform for combinatorial computing , 1993 .
[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] M. Newman,et al. The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[7] Ata Kabán,et al. On an equivalence between PLSI and LDA , 2003, SIGIR.
[8] Andrea Lancichinetti,et al. Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.
[9] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[10] Fei Wang,et al. Community discovery using nonnegative matrix factorization , 2011, Data Mining and Knowledge Discovery.
[11] Chris H. Q. Ding,et al. Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[12] Jure Leskovec,et al. The dynamics of viral marketing , 2005, EC '06.
[13] R. Lambiotte,et al. Line graphs, link partitions, and overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] Thomas Hofmann,et al. Latent semantic models for collaborative filtering , 2004, TOIS.
[15] K. A. Samani,et al. Detecting overlapping community structure of networks based on vertex–vertex correlations , 2009 .
[16] T. Snijders,et al. Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure , 1997 .
[17] Benjamin H. Good,et al. Performance of modularity maximization in practical contexts. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] Michael T. Gastner,et al. The spatial structure of networks , 2006 .
[19] Marc Barthelemy,et al. Spatial Networks , 2010, Encyclopedia of Social Network Analysis and Mining.
[20] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[21] Sune Lehmann,et al. Link communities reveal multiscale complexity in networks , 2009, Nature.
[22] Jure Leskovec,et al. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters , 2008, Internet Math..
[23] Chris H. Q. Ding,et al. On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing , 2008, Comput. Stat. Data Anal..
[24] Bruce A. Reed,et al. A Critical Point for Random Graphs with a Given Degree Sequence , 1995, Random Struct. Algorithms.
[25] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[26] M. Newman,et al. Random graphs with arbitrary degree distributions and their applications. , 2000, Physical review. E, Statistical, nonlinear, and soft matter physics.
[27] F. Radicchi,et al. Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] Jon M. Kleinberg,et al. Group formation in large social networks: membership, growth, and evolution , 2006, KDD '06.
[29] M. Newman,et al. Hierarchical structure and the prediction of missing links in networks , 2008, Nature.
[30] Leon Danon,et al. Comparing community structure identification , 2005, cond-mat/0505245.
[31] Mark E. J. Newman,et al. Stochastic blockmodels and community structure in networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[32] John Yen,et al. An LDA-based Community Structure Discovery Approach for Large-Scale Social Networks , 2007, 2007 IEEE Intelligence and Security Informatics.
[33] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[34] Brian W. Kernighan,et al. An efficient heuristic procedure for partitioning graphs , 1970, Bell Syst. Tech. J..
[35] Edoardo M. Airoldi,et al. Mixed Membership Stochastic Blockmodels , 2007, NIPS.
[36] Xiang-Sun Zhang,et al. Modularity optimization in community detection of complex networks , 2009 .
[37] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[38] Tina Eliassi-Rad,et al. Applying latent dirichlet allocation to group discovery in large graphs , 2009, SAC '09.
[39] Samuel Kaski,et al. A Block Model Suitable for Sparse Graphs , 2009 .
[40] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[41] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[42] W. Zachary,et al. An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.
[43] S. Fortunato,et al. Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.
[44] Stephen Roberts,et al. Overlapping community detection using Bayesian non-negative matrix factorization. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[45] H. Akaike. A new look at the statistical model identification , 1974 .
[46] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[47] Yuchung J. Wang,et al. Stochastic Blockmodels for Directed Graphs , 1987 .
[48] James P. Bagrow. Evaluating local community methods in networks , 2007, 0706.3880.
[49] András A. Benczúr,et al. An efficient block model for clustering sparse graphs , 2010, MLG '10.
[50] Chris H. Q. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering , 2005, SDM.
[51] Ioannis Psorakis,et al. Soft Partitioning in Networks via Bayesian Non-negative Matrix Factorization , 2010 .