A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations
暂无分享,去创建一个
Pierre Barbillon | Emmanuel Lazega | Sophie Donnet | Saint-Clair Chabert-Liddell | E. Lazega | P. Barbillon | S. Donnet | Saint-Clair Chabert-Liddell
[1] Mark E. J. Newman,et al. Stochastic blockmodels and community structure in networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[2] Mason A. Porter,et al. Multilayer networks , 2013, J. Complex Networks.
[3] Xiaoran Yan,et al. Bayesian model selection of stochastic block models , 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[4] P. Latouche,et al. Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood , 2015 .
[5] Francesco Bartolucci,et al. Dealing with reciprocity in dynamic stochastic block models , 2018, Comput. Stat. Data Anal..
[6] Emmanuel Lazega,et al. Interdependent entrepreneurs and the social discipline of their cooperation: a research programme for structural economic sociology in a society of organizations: Markets, Networks and Hierarchies , 2002 .
[7] Alain Celisse,et al. Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model , 2011, 1105.3288.
[8] T. Snijders,et al. Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure , 1997 .
[9] Ales Ziberna,et al. K-means-based Algorithm for Blockmodeling Linked Networks , 2020, Soc. Networks.
[10] Peng Wang,et al. Exponential random graph models for multilevel networks , 2013, Soc. Networks.
[11] Dane Taylor,et al. Clustering Network Layers with the Strata Multilayer Stochastic Block Model , 2015, IEEE Transactions on Network Science and Engineering.
[12] Giancarlo Ragozini,et al. Analyzing multiplex networks using factorial methods , 2019, Soc. Networks.
[13] E. Lazega,et al. Stochastic block models for multiplex networks: an application to a multilevel network of researchers , 2017 .
[14] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[15] Julien Brailly. Dynamics of networks in trade fairs—A multilevel relational approach to the cooperation among competitors , 2016 .
[16] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[17] Marijtje A. J. van Duijn,et al. The Multilevel p2 Model , 2006 .
[18] M. Lubell,et al. The network structure of multilevel water resources governance in Central America , 2018 .
[19] M. Newman,et al. Hierarchical structure and the prediction of missing links in networks , 2008, Nature.
[20] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[21] E. Lazega,et al. Inter-organizational network influence on long term and short term inter-individual relationships: The Case of a Trade Fair for TV Programs Distribution in Sub-Saharan Africa , 2016 .
[22] Aleš Žiberna,et al. Blockmodeling Linked Networks , 2019 .
[23] Edoardo M. Airoldi,et al. Mixed Membership Stochastic Blockmodels , 2007, NIPS.
[24] Pierre Barbillon,et al. Variational Inference for Stochastic Block Models From Sampled Data , 2017, Journal of the American Statistical Association.
[25] Roger Guimerà,et al. Missing and spurious interactions and the reconstruction of complex networks , 2009, Proceedings of the National Academy of Sciences.
[26] Emmanuel Lazega,et al. The structural wings of Matthew effects: The contribution of three-level network data to the analysis of cumulative advantage , 2016 .
[27] Cristopher Moore,et al. Community detection, link prediction, and layer interdependence in multilayer networks , 2017, Physical review. E.
[28] Brian W. Junker,et al. Hierarchical Network Models for Education Research , 2013 .
[29] David M. Blei,et al. Variational Inference: A Review for Statisticians , 2016, ArXiv.
[30] Patrick Doreian,et al. Treating Missing Network Data Before Partitioning , 2019 .
[31] Tracy M. Sweet. 22 Hierarchical Mixed Membership Stochastic Blockmodels for Multiple Networks and Experimental Interventions , 2014 .
[32] Vincent Miele,et al. Statistical clustering of temporal networks through a dynamic stochastic block model , 2015, 1506.07464.
[33] Emmanuel Lazega,et al. Catching up with big fish in the big pond? Multi-level network analysis through linked design , 2008, Soc. Networks.
[34] T. Snijders. The statistical evaluation of social network dynamics , 2001 .
[35] Anja Znidarsic,et al. Non-response in social networks: The impact of different non-response treatments on the stability of blockmodels , 2012, Soc. Networks.
[36] P. Barbillon,et al. Block models for generalized multipartite networks: Applications in ecology and ethnobiology , 2020, Statistical Modelling.
[37] Kathryn B. Laskey,et al. Stochastic blockmodels: First steps , 1983 .
[38] Gérard Govaert,et al. Block clustering with Bernoulli mixture models: Comparison of different approaches , 2008, Comput. Stat. Data Anal..
[39] Christophe Ambroise,et al. Variational Bayesian inference and complexity control for stochastic block models , 2009, 0912.2873.
[40] St'ephane Robin,et al. Uncovering latent structure in valued graphs: A variational approach , 2010, 1011.1813.
[41] Pierre Barbillon,et al. Effects of competition on collective learning in advice networks , 2016, Soc. Networks.
[42] L. Hubert,et al. Comparing partitions , 1985 .
[43] Franck Picard,et al. A mixture model for random graphs , 2008, Stat. Comput..
[44] Gérard Govaert,et al. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood , 2000, IEEE Trans. Pattern Anal. Mach. Intell..