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• Guralnik 99
  In this paper we present algorithms for both the batch * [[RelatedPaper::Lin_et_al_KDD_2011|A Statistical Model for Popular Events Tracking in Social Communities. Lin et al, KDD 201
  7 KB (1,017 words) - 23:08, 1 October 2012
• ToWikify
  ...supervised_learning_algorithm_for_link_prediction]] || [[Fast and scalable algorithms for semi-supervised link prediction on static and dynamic graphs]] [http:// | [[Leskovec_et_al.,_WWW_2010]] || [[Statistical properties of community structure in large social and information networks.
  12 KB (1,642 words) - 17:02, 30 November 2012
• Structured Prediction 10-710 in Fall 2011
  ...ing techniques for structured outputs, will be able to develop appropriate algorithms for use in new research, and will be able to critically read related litera
  7 KB (1,020 words) - 14:11, 30 November 2011
• Miray Dongyang Niting project proposal
  Algorithms, Sociology, Signal Processing. ..., Z. and Ravasz, E. and Schubert, A. and Vicsek, T. 3-4, s.l. : Physica A: Statistical Mechanics and its Applications, 2002, Vol. 311.
  15 KB (2,315 words) - 00:18, 15 February 2011
• Recent or influential technical papers in Analysis of Social Media
  * Gleiser, P. M. 2007. How to become a superhero. Journal of Statistical Mechanics: Theory and Experiment 2007: P09020. * Kearns, M. B.M. Local Algorithms for Finding Interesting Individuals in Large Networks.
  11 KB (1,501 words) - 21:42, 29 September 2012

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