Exploiting behaviors of communities of twitter users for link prediction

[1]  Roberto Marcondes Cesar Junior,et al.  Using Link Prediction to Estimate the Collaborative Influence of Researchers , 2013, 2013 IEEE 9th International Conference on e-Science.

[2]  Antoine Boutet,et al.  What’s in Twitter, I know what parties are popular and who you are supporting now! , 2013, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[3]  Nitesh V. Chawla,et al.  Supervised methods for multi-relational link prediction , 2013, Social Network Analysis and Mining.

[4]  S. Mahadevan,et al.  Identifying influential nodes in weighted networks based on evidence theory , 2013 .

[5]  Alneu de Andrade Lopes,et al.  Structural link prediction using community information on Twitter , 2012, 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN).

[6]  Alneu de Andrade Lopes,et al.  Link Prediction in Complex Networks Based on Cluster Information , 2012, SBIA.

[7]  Jorge Carlos Valverde-Rebaza,et al.  Multiple kernel learning based on local and nonlinear combinations , 2012, 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI).

[8]  Yoshihiro Yamanishi,et al.  GENIES: gene network inference engine based on supervised analysis , 2012, Nucleic Acids Res..

[9]  John E. Hopcroft,et al.  Using community information to improve the precision of link prediction methods , 2012, WWW.

[10]  Ali Hamzeh,et al.  Link Prediction in Social Network Using Co-clustering Based Approach , 2012, 2012 26th International Conference on Advanced Information Networking and Applications Workshops.

[11]  Linyuan Lu,et al.  Potential Theory for Directed Networks , 2012, PloS one.

[12]  Jie Tang,et al.  Who will follow you back?: reciprocal relationship prediction , 2011, CIKM '11.

[13]  Brian D. Davison,et al.  Structural link analysis and prediction in microblogs , 2011, CIKM '11.

[14]  L. Rokach,et al.  Link Prediction in Social Networks Using Computationally Efficient Topological Features , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[15]  Armelle Brun,et al.  Densifying a behavioral recommender system by social networks link prediction methods , 2011, Social Network Analysis and Mining.

[16]  Zhen Liu,et al.  Link prediction in complex networks: A local naïve Bayes model , 2011, ArXiv.

[17]  Andrew Trotman,et al.  Topical and Structural Linkage in Wikipedia , 2011, ECIR.

[18]  Ke Xu,et al.  Link prediction in complex networks: a clustering perspective , 2011, The European Physical Journal B.

[19]  Linyuan Lu,et al.  Link Prediction in Complex Networks: A Survey , 2010, ArXiv.

[20]  Céline Rouveirol,et al.  A supervised machine learning link prediction approach for academic collaboration recommendation , 2010, RecSys '10.

[21]  Scott A. Golder,et al.  Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality , 2010, 2010 IEEE Second International Conference on Social Computing.

[22]  Nitesh V. Chawla,et al.  New perspectives and methods in link prediction , 2010, KDD.

[23]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[24]  Jon M. Kleinberg,et al.  The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter , 2010, ICWSM.

[25]  Jimeng Sun,et al.  Social influence analysis in large-scale networks , 2009, KDD.

[26]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[27]  M. Barber,et al.  Detecting network communities by propagating labels under constraints. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Linyuan Lü,et al.  Predicting missing links via local information , 2009, 0901.0553.

[29]  Gary E. Birch,et al.  Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets , 2008, 2008 Seventh International Conference on Machine Learning and Applications.

[30]  Lise Getoor,et al.  Using Friendship Ties and Family Circles for Link Prediction , 2008, SNAKDD.

[31]  Pietro Liò,et al.  Towards real-time community detection in large networks. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Réka Albert,et al.  Near linear time algorithm to detect community structures in large-scale networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Jon M. Kleinberg,et al.  The link-prediction problem for social networks , 2007, J. Assoc. Inf. Sci. Technol..

[34]  Matthieu Latapy,et al.  Computing Communities in Large Networks Using Random Walks , 2004, J. Graph Algorithms Appl..

[35]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  M. Newman Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[38]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[39]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[40]  M. Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[41]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[42]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[43]  Vladimir Naumovich Vapni The Nature of Statistical Learning Theory , 1995 .

[44]  Jon Kleinberg,et al.  The link prediction problem for social networks , 2003, CIKM '03.