A. Ahmed and &. E. , Xing ? « On tight approximate inference of logistic-normal admixture model, Proceedings of the International Conference on Artificial Intelligence and Statistics, pp.1-8, 2007.

E. Airoldi, D. Blei, S. Fienberg, and &. , Xing ? « Mixed membership stochastic blockmodels, The Journal of Machine Learning Research, vol.9, pp.1981-2014, 2008.

P. Bickel and &. , Chen ? « A nonparametric view of network models and newman?girvan and other modularities, Proceedings of the National Academy of Sciences, pp.21068-21073, 2009.

D. Blei and &. , A correlated topic model of Science, The Annals of Applied Statistics, vol.1, issue.1, pp.17-35, 2007.
DOI : 10.1214/07-AOAS114

D. Blei and &. , Lafferty ? « A correlated topic model of science, The Annals of Applied Statistics, pp.17-35, 2007.

I. Csisz and G. , Tusnády et al. ? « Information geometry and alternating minimization procedures, Statistics and decisions, 1984.

J. Daudin, F. Picard, and &. , A mixture model for random graphs, Statistics and Computing, vol.4, issue.2, pp.173-183, 2008.
DOI : 10.1007/s11222-007-9046-7

URL : https://hal.archives-ouvertes.fr/inria-00070186

A. P. Dempster, N. M. Laird, and &. D. , Rubin ? « Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B (Methodological), pp.1-38, 1977.

C. Dubois, C. Butts, and &. , Smyth ? « Stochastic blockmodelling of relational event dynamics, International Conference on Artificial Intelligence and Statistics of the Journal of Machine Learning Research Proceedings, pp.238-246, 2013.

S. Fienberg and &. , Categorical Data Analysis of Single Sociometric Relations, Sociological Methodology, vol.12, pp.156-192, 1981.
DOI : 10.2307/270741

M. Girvan and &. , Newman ? « Community structure in social and biological networks, Proceedings of the National Academy of Sciences 99, p.7821, 2002.

M. Handcock, A. Raftery, and &. , Model-based clustering for social networks, Journal of the Royal Statistical Society: Series A (Statistics in Society), vol.6, issue.2, pp.301-354, 2007.
DOI : 10.1111/j.1467-9574.2005.00283.x

A. Harvey and ?. Forecasting, structural time series models and the kalman filter, 1989.

C. Heaukulani and &. , Ghahramani ? « Dynamic probabilistic models for latent feature propagation in social networks, Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp.275-283, 2013.

J. Hofman and &. , Wiggins ? « Bayesian approach to network modularity », Physical review letters, p.258701, 2008.

Y. Jernite, P. Latouche, C. Bouveyron, P. Rivera, L. Jegou et al., Lamassé ? « The random subgraph model for the analysis of an acclesiastical network in merovingian gaul, Annals of Applied Statistics, vol.8, issue.1, pp.55-74, 2014.

M. Jordan, Z. Ghahramani, T. Jaakkola, and &. L. , Saul ? « An introduction to variational methods for graphical models, Machine Learning, vol.37, issue.2, pp.183-233, 1999.
DOI : 10.1023/A:1007665907178

T. Krishnan and &. , McLachlan ? The EM algorithm and extensions, 1997.

P. Latouche, E. Birmelé, and &. , Overlapping stochastic block models with application to the French political blogosphere, The Annals of Applied Statistics, vol.5, issue.1, pp.309-336, 2011.
DOI : 10.1214/10-AOAS382SUPP

URL : https://hal.archives-ouvertes.fr/hal-00624538

M. Mariadassou, S. Robin, and &. , Uncovering latent structure in valued graphs: A variational approach, The Annals of Applied Statistics, vol.4, issue.2, pp.715-742, 2010.
DOI : 10.1214/07-AOAS361SUPP

URL : https://hal.archives-ouvertes.fr/hal-01197514

C. Matias and &. , Robin ? « Modeling heterogeneity in random graphs through latent space models : a selective review, Esaim Proc. and Surveys, pp.55-74, 2014.

J. Moreno and ?. , Who shall survive ? : A new approach to the problem of human interrelations, 1934.
DOI : 10.1037/10648-000

K. Nowicki and &. , Estimation and Prediction for Stochastic Blockstructures, Journal of the American Statistical Association, vol.96, issue.455, pp.1077-1087, 2001.
DOI : 10.1198/016214501753208735

W. Rand and ?. , Objective Criteria for the Evaluation of Clustering Methods, Journal of the American Statistical Association, vol.15, issue.336, pp.846-850, 1971.
DOI : 10.1080/01621459.1963.10500845

H. Rauch, F. Tung, and &. , Striebel ? « Maximum likelihood estimates of linear dynamic systems, AIASS Journal, vol.3, issue.8, pp.1445-1450, 1965.

P. Sarkar and &. A. , Dynamic social network analysis using latent space models, ACM SIGKDD Explorations Newsletter, vol.7, issue.2, pp.31-40, 2005.
DOI : 10.1145/1117454.1117459

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.1164

M. Svensén and &. , Robust Bayesian mixture modelling, Neurocomputing, vol.64, pp.235-252, 2004.
DOI : 10.1016/j.neucom.2004.11.018

Y. Wang and &. , Stochastic Blockmodels for Directed Graphs, Journal of the American Statistical Association, vol.4, issue.397, pp.8-19, 1987.
DOI : 10.1080/01621459.1987.10478406

H. White, S. Boorman, and &. , Breiger ? « Social structure from multiple networks. i. blockmodels of roles and positions, American Journal of Sociology, pp.730-780, 1976.

E. Xing, W. Fu, and &. , A state-space mixed membership blockmodel for dynamic network tomography, The Annals of Applied Statistics, vol.4, issue.2, pp.535-566, 2010.
DOI : 10.1214/09-AOAS311

K. S. Xu and &. A. , Hero III ? « Dynamic stochastic blockmodels : Statistical models for time-evolving networks, Social Computing, Behavioral-Cultural Modeling and Prediction, pp.201-210, 2013.

T. Yang, Y. Chi, S. Zhu, Y. Gong, and &. , Detecting communities and their evolutions in dynamic social networks???a??Bayesian approach, Machine Learning, vol.2, issue.1, pp.157-189, 2011.
DOI : 10.1007/s10994-010-5214-7