Detecting communities and their evolutions in dynamic social networks—a Bayesian approach
暂无分享,去创建一个
Yihong Gong | Yun Chi | Rong Jin | Tianbao Yang | Shenghuo Zhu | Tianbao Yang | Yihong Gong | Rong Jin | Shenghuo Zhu | Yun Chi
[1] Deepayan Chakrabarti,et al. Evolutionary clustering , 2006, KDD '06.
[2] Yun Chi,et al. Analyzing communities and their evolutions in dynamic social networks , 2009, TKDD.
[3] Philip S. Yu,et al. GraphScope: parameter-free mining of large time-evolving graphs , 2007, KDD '07.
[4] C. Lee Giles,et al. Efficient identification of Web communities , 2000, KDD '00.
[5] ChengXiang Zhai,et al. Discovering evolutionary theme patterns from text: an exploration of temporal text mining , 2005, KDD '05.
[6] Padhraic Smyth,et al. A Spectral Clustering Approach To Finding Communities in Graph , 2005, SDM.
[7] Tom A. B. Snijders,et al. Markov Chain Monte Carlo Estimation of Exponential Random Graph Models , 2002, J. Soc. Struct..
[8] Srinivasan Parthasarathy,et al. An event-based framework for characterizing the evolutionary behavior of interaction graphs , 2007, KDD '07.
[9] Tanya Y. Berger-Wolf,et al. A framework for community identification in dynamic social networks , 2007, KDD '07.
[10] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] E. Xing,et al. Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions , 2006 .
[13] Jimeng Sun,et al. MetaFac: community discovery via relational hypergraph factorization , 2009, KDD.
[14] Yihong Gong,et al. A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks , 2009, SDM.
[15] Randy Goebel,et al. Detecting Communities in Social Networks Using Max-Min Modularity , 2009, SDM.
[16] Ravi Kumar,et al. On the Bursty Evolution of Blogspace , 2003, WWW '03.
[17] Volker Tresp,et al. Soft Clustering on Graphs , 2005, NIPS.
[18] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[19] Myra Spiliopoulou,et al. MONIC: modeling and monitoring cluster transitions , 2006, KDD '06.
[20] Eric P. Xing,et al. Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering , 2008, SDM.
[21] Yun Chi,et al. Evolutionary spectral clustering by incorporating temporal smoothness , 2007, KDD '07.
[22] Ronald Rosenfeld,et al. Semi-supervised learning with graphs , 2005 .
[23] Ulrik Brandes,et al. On Modularity Clustering , 2008, IEEE Transactions on Knowledge and Data Engineering.
[24] Jiawei Han,et al. A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks , 2009, Proc. VLDB Endow..
[25] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[26] Thomas L. Griffiths,et al. Discovering Latent Classes in Relational Data , 2004 .
[27] Christos Faloutsos,et al. Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.
[28] L. Freeman. Finding Social Groups: A Meta-Analysis of the Southern Women Data , 2003 .
[29] Yun Chi,et al. Facetnet: a framework for analyzing communities and their evolutions in dynamic networks , 2008, WWW.
[30] Susan M. Shortreed,et al. Positional Estimation Within a Latent Space Model for Networks , 2006 .
[31] Huan Liu,et al. Community evolution in dynamic multi-mode networks , 2008, KDD.
[32] Wei Xu,et al. Machine Learning for Multimedia Content Analysis , 2007 .
[33] Chris H Wiggins,et al. Bayesian approach to network modularity. , 2007, Physical review letters.
[34] A. Moore,et al. Dynamic social network analysis using latent space models , 2005, SKDD.
[35] Fan Chung,et al. Spectral Graph Theory , 1996 .
[36] Masaru Kitsuregawa,et al. Extracting evolution of web communities from a series of web archives , 2003, HYPERTEXT '03.
[37] A. Barabasi,et al. Quantifying social group evolution , 2007, Nature.
[38] Yihong Gong,et al. Document clustering by concept factorization , 2004, SIGIR '04.
[39] Peter D. Hoff,et al. Latent Space Approaches to Social Network Analysis , 2002 .
[40] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.
[41] S. Wasserman,et al. Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp , 1996 .
[42] M. M. Meyer,et al. Statistical Analysis of Multiple Sociometric Relations. , 1985 .
[43] P. Holland,et al. Local Structure in Social Networks , 1976 .
[44] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[45] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.