Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email
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Andrew McCallum | Xuerui Wang | Andrés Corrada-Emmanuel | A. McCallum | Xuerui Wang | A. Corrada-Emmanuel
[1] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[2] Thomas L. Griffiths,et al. Probabilistic author-topic models for information discovery , 2004, KDD.
[3] Duncan J. Watts,et al. Six Degrees: The Science of a Connected Age , 2003 .
[4] John D. Lafferty,et al. Correlated Topic Models , 2005, NIPS.
[5] J. Lafferty,et al. Mixed-membership models of scientific publications , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[6] Jafar Adibi,et al. The Enron Email Dataset Database Schema and Brief Statistical Report , 2004 .
[7] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[8] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.
[9] Andrew McCallum,et al. Group and Topic Discovery from Relations and Their Attributes , 2005, NIPS.
[10] Yiming Yang,et al. Stochastic link and group detection , 2002, AAAI/IAAI.
[11] Thomas L. Griffiths,et al. Integrating Topics and Syntax , 2004, NIPS.
[12] Lada A. Adamic,et al. How to search a social network , 2005, Soc. Networks.
[13] Tom Minka,et al. Expectation-Propogation for the Generative Aspect Model , 2002, UAI.
[14] Wei Li,et al. Pachinko allocation: DAG-structured mixture models of topic correlations , 2006, ICML.
[15] M E J Newman,et al. Identity and Search in Social Networks , 2002, Science.
[16] John D. Lafferty,et al. Dynamic topic models , 2006, ICML.
[17] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[18] T. Snijders,et al. Estimation and Prediction for Stochastic Blockstructures , 2001 .
[19] Kathryn B. Laskey,et al. Stochastic blockmodels: First steps , 1983 .
[20] A. McCallum,et al. Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[21] Nando de Freitas,et al. An Introduction to MCMC for Machine Learning , 2004, Machine Learning.
[22] Andrew McCallum,et al. Expertise modeling for matching papers with reviewers , 2007, KDD '07.
[23] Jon M. Kleinberg,et al. Navigation in a small world , 2000, Nature.
[24] Andrew McCallum,et al. Topics over time: a non-Markov continuous-time model of topical trends , 2006, KDD '06.
[25] Andrew McCallum,et al. Topic and Role Discovery in Social Networks , 2005, IJCAI.
[26] Kenichi Kurihara,et al. A Frequency-based Stochastic Blockmodel , 2006 .
[27] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[28] Thomas L. Griffiths,et al. Discovering Latent Classes in Relational Data , 2004 .
[29] Thomas L. Griffiths,et al. The Author-Topic Model for Authors and Documents , 2004, UAI.
[30] Lada A. Adamic,et al. Information flow in social groups , 2003, cond-mat/0305305.
[31] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[32] H. White,et al. STRUCTURAL EQUIVALENCE OF INDIVIDUALS IN SOCIAL NETWORKS , 1977 .
[33] Thomas L. Griffiths,et al. Learning Systems of Concepts with an Infinite Relational Model , 2006, AAAI.