Community discovery using nonnegative matrix factorization
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Fei Wang | Chris H. Q. Ding | Shenghuo Zhu | Tao Li | Xin Wang | C. Ding | Shenghuo Zhu | Fei Wang | Tao Li | Xin Wang
[1] Volker Tresp,et al. Learning to learn and collaborative filtering , 2005, NIPS 2005.
[2] Gang Chen,et al. Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization , 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).
[3] Chia-Hui Chang,et al. Aspect Summarization from Blogsphere for Social Study , 2007 .
[4] Atsuyoshi Nakamura,et al. Partitioning of Web graphs by community topology , 2005, WWW '05.
[5] Thomas Hofmann,et al. Latent Class Models for Collaborative Filtering , 1999, IJCAI.
[6] S. Wasserman,et al. Social Network Analysis: Computer Programs , 1994 .
[7] C. Lee Giles,et al. Efficient identification of Web communities , 2000, KDD '00.
[8] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Michalis Faloutsos,et al. On power-law relationships of the Internet topology , 1999, SIGCOMM '99.
[10] R. Karp,et al. From the Cover : Conserved patterns of protein interaction in multiple species , 2005 .
[11] L. Amaral,et al. Small-World Networks: Evidence for a Crossover Picture , 1999, cond-mat/9903108.
[12] Pablo Tamayo,et al. Metagenes and molecular pattern discovery using matrix factorization , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[13] R. Carter. 11 – IT and society , 1991 .
[14] Michael W. Berry,et al. Algorithms and applications for approximate nonnegative matrix factorization , 2007, Comput. Stat. Data Anal..
[15] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[16] GhoshJoydeep,et al. Cluster ensembles --- a knowledge reuse framework for combining multiple partitions , 2003 .
[17] 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.
[18] Albert-László Barabási,et al. Internet: Diameter of the World-Wide Web , 1999, Nature.
[19] John Scott. What is social network analysis , 2010 .
[20] M E J Newman,et al. Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[22] FaloutsosMichalis,et al. On power-law relationships of the Internet topology , 1999 .
[23] Yangqiu Song,et al. Parallel Spectral Clustering Algorithm for Large-Scale Community Data Mining , 2008 .
[24] Fei Wang,et al. Recommendation on Item Graphs , 2006, Sixth International Conference on Data Mining (ICDM'06).
[25] Yair Weiss,et al. Segmentation using eigenvectors: a unifying view , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[26] Chris H. Q. Ding,et al. Orthogonal nonnegative matrix t-factorizations for clustering , 2006, KDD '06.
[27] Fei Wang,et al. Semi-Supervised Clustering via Matrix Factorization , 2008, SDM.
[28] John Yen,et al. Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model , 2007, AAAI.
[29] Eric Horvitz,et al. Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach , 2000, UAI.
[30] Eric Horvitz,et al. Collaborative filtering by personality diagnosis , 2000, UAI 2000.
[31] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[32] Chris H. Q. Ding,et al. On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing , 2008, Comput. Stat. Data Anal..
[33] Gang Chen,et al. Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization , 2007 .
[34] John Scott. Social Network Analysis , 1988 .
[35] Bernhard Schölkopf,et al. Learning from labeled and unlabeled data on a directed graph , 2005, ICML.
[36] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.
[37] Chris H. Q. Ding,et al. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization , 2008, SIGIR '08.
[38] Chris H. Q. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering , 2005, SDM.
[39] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[40] Philip S. Yu,et al. Relational clustering by symmetric convex coding , 2007, ICML '07.
[41] Tao Li,et al. On the Equivalence Between Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing , .
[42] Weixiong Zhang,et al. An Efficient Spectral Algorithm for Network Community Discovery and Its Applications to Biological and Social Networks , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[43] H E Stanley,et al. Classes of small-world networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[44] Mark Newman,et al. Detecting community structure in networks , 2004 .
[45] P. Paatero,et al. Positive matrix factorization applied to a curve resolution problem , 1998 .
[46] David J. Marchette,et al. Scan Statistics on Enron Graphs , 2005, Comput. Math. Organ. Theory.
[47] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[48] P. Sonneveld,et al. Nonnegative matrix factorization of a correlation matrix , 2009 .
[49] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[50] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.