@ARTICLE{Raghavan2014TCSS,
author={V. Raghavan and G. Ver Steeg and A. Galstyan and A. G. Tartakovsky},
journal={IEEE Transactions on Computational Social Systems},
title={Modeling Temporal Activity Patterns in Dynamic Social Networks},
year={2014},
volume={1},
number={1},
pages={89-107},
keywords={hidden Markov models;learning (artificial intelligence);pattern clustering;social networking (online);Baum-Welch algorithms;HMM;Markov chain;Twitter;Viterbi algorithms;dynamic social networks;hidden Markov model;model parameter space clustering;parameter learning;probabilistic models;renewal process-based model;social network influence;state estimation;temporal activity pattern modeling;user activity;Biological system modeling;Computational modeling;Data models;Hidden Markov models;Mathematical model;Numerical models;Social network services;Activity profile modeling;Twitter;coupled hidden Markov model (coupled HMM);data fitting;explanation;hidden Markov model (HMM);prediction;social network influence;user clustering},
doi={10.1109/TCSS.2014.2307453},
ISSN={2329-924X},
month={March},  
 urlpaper={http://arxiv.org/abs/1305.1980}  
  }

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