@article{raghavan_modeling_2014,
	title = {Modeling {Temporal} {Activity} {Patterns} in {Dynamic} {Social} {Networks}},
	volume = {1},
	issn = {2329-924X},
	doi = {10.1109/TCSS.2014.2307453},
	number = {1},
	journal = {IEEE Transactions on Computational Social Systems},
	author = {Raghavan, V. and Steeg, G. Ver and Galstyan, A. and Tartakovsky, A. G.},
	month = mar,
	year = {2014},
	keywords = {Activity profile modeling, Baum-Welch algorithms, Biological system modeling, Computational modeling, Data models, HMM, Hidden Markov models, Markov chain, Mathematical model, Numerical models, Social network services, Twitter, Viterbi algorithms, coupled hidden Markov model (coupled HMM), data fitting, dynamic social networks, explanation, hidden Markov model, hidden Markov model (HMM), hidden Markov models, learning (artificial intelligence), model parameter space clustering, parameter learning, pattern clustering, prediction, probabilistic models, renewal process-based model, social network influence, social networking (online), state estimation, temporal activity pattern modeling, user activity, user clustering},
	pages = {89--107},
}

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