SLR: A scalable latent role model for attribute completion and tie prediction in social networks
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Ee-Peng Lim | Jing Jiang | Qirong Ho | Lizi Liao | Qirong Ho | Jing Jiang | Ee-Peng Lim | Lizi Liao
[1] J. L. Fischer. Social Influences on the Choice of a Linguistic Variant , 1958 .
[2] R. Merton. The Matthew Effect in Science , 1968, Science.
[3] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[4] Peter D. Hoff,et al. Latent Space Approaches to Social Network Analysis , 2002 .
[5] S. Shen-Orr,et al. Network motifs: simple building blocks of complex networks. , 2002, Science.
[6] Jon Kleinberg,et al. The link prediction problem for social networks , 2003, CIKM '03.
[7] Thomas L. Griffiths,et al. The Author-Topic Model for Authors and Documents , 2004, UAI.
[8] T. Vicsek,et al. Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.
[9] 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.
[10] Jon M. Kleinberg,et al. The link-prediction problem for social networks , 2007, J. Assoc. Inf. Sci. Technol..
[11] Geoffrey J. Gordon,et al. A Unified View of Matrix Factorization Models , 2008, ECML/PKDD.
[12] Edoardo M. Airoldi,et al. Mixed Membership Stochastic Blockmodels , 2007, NIPS.
[13] Hong Cheng,et al. Graph Clustering Based on Structural/Attribute Similarities , 2009, Proc. VLDB Endow..
[14] David M. Blei,et al. Relational Topic Models for Document Networks , 2009, AISTATS.
[15] Yan Liu,et al. Topic-link LDA: joint models of topic and author community , 2009, ICML '09.
[16] Brendan T. O'Connor,et al. A Latent Variable Model for Geographic Lexical Variation , 2010, EMNLP.
[17] David Yarowsky,et al. Classifying latent user attributes in twitter , 2010, SMUC '10.
[18] Christos Faloutsos,et al. Kronecker Graphs: An Approach to Modeling Networks , 2008, J. Mach. Learn. Res..
[19] Sune Lehmann,et al. Link communities reveal multiscale complexity in networks , 2009, Nature.
[20] Kyumin Lee,et al. You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.
[21] Ana-Maria Popescu,et al. A Machine Learning Approach to Twitter User Classification , 2011, ICWSM.
[22] Mason A. Porter,et al. Social Structure of Facebook Networks , 2011, ArXiv.
[23] John D. Burger,et al. Discriminating Gender on Twitter , 2011, EMNLP.
[24] William W. Cohen,et al. Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links , 2014, Handbook of Mixed Membership Models and Their Applications.
[25] Ana-Maria Popescu,et al. Democrats, republicans and starbucks afficionados: user classification in twitter , 2011, KDD.
[26] Jure Leskovec,et al. Latent Multi-group Membership Graph Model , 2012, ICML.
[27] Eric P. Xing,et al. Document hierarchies from text and links , 2012, WWW.
[28] Henry A. Kautz,et al. Finding your friends and following them to where you are , 2012, WSDM '12.
[29] Rui Wang,et al. Towards social user profiling: unified and discriminative influence model for inferring home locations , 2012, KDD.
[30] Jure Leskovec,et al. Community-Affiliation Graph Model for Overlapping Network Community Detection , 2012, 2012 IEEE 12th International Conference on Data Mining.
[31] Eric P. Xing,et al. On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks , 2012, NIPS.
[32] Jure Leskovec,et al. Defining and Evaluating Network Communities Based on Ground-Truth , 2012, ICDM.
[33] Boleslaw K. Szymanski,et al. Overlapping community detection in networks: The state-of-the-art and comparative study , 2011, CSUR.
[34] Srinivasan Parthasarathy,et al. Efficient community detection in large networks using content and links , 2012, WWW.
[35] David M Blei,et al. Efficient discovery of overlapping communities in massive networks , 2013, Proceedings of the National Academy of Sciences.
[36] Eric P. Xing,et al. A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks , 2013, NIPS.
[37] Heyan Huang,et al. Lifetime Lexical Variation in Social Media , 2014, AAAI.
[38] Kevin Chen-Chuan Chang,et al. User profiling in an ego network: co-profiling attributes and relationships , 2014, WWW.
[39] William W. Cohen,et al. Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links , 2014, Handbook of Mixed Membership Models and Their Applications.
[40] Stephen J. Wright. Coordinate descent algorithms , 2015, Mathematical Programming.
[41] Yaoliang Yu,et al. Petuum: A New Platform for Distributed Machine Learning on Big Data , 2015, IEEE Trans. Big Data.