A. N. Randriamanamihaga, E. Côme, L. Oukhellou, and G. Govaert, Clustering the V??lib?? dynamic Origin/Destination flows using a family of Poisson mixture models, Neurocomputing, vol.141, pp.124-138, 2014.
DOI : 10.1016/j.neucom.2014.01.050

P. W. Holland, K. B. Laskey, and S. Leinhardt, Stochastic blockmodels: First steps, Social Networks, vol.5, issue.2, pp.109-137, 1983.
DOI : 10.1016/0378-8733(83)90021-7

R. Guigourès, M. Boullé, and F. Rossi, A Triclustering Approach for Time Evolving Graphs, 2012 IEEE 12th International Conference on Data Mining Workshops, pp.115-122, 2012.
DOI : 10.1109/ICDMW.2012.61

J. Wyse, N. Friel, and P. Latouche, Inferring structure in bipartite networks using the latent block model and exact ICL, arXiv pre-print arXiv: 1404, 2014.

C. Biernacky, G. Celeux, and G. Govaert, Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000.
DOI : 10.1109/34.865189

E. Côme and P. Latouche, Model selection and clustering in stochastic block models with the exact integrated complete data likelihood, arXiv pre-print, 2013.

L. Isella, J. Sthelé, A. Barrat, C. Cattuto, J. F. Pinton et al., What's in a crowd? Analysis of face-to-face behavioral networks, Journal of Theoretical Biology, vol.271, issue.1, pp.166-180, 2011.
DOI : 10.1016/j.jtbi.2010.11.033