Seminário de Doutorado:

Análise Estatística de Redes (2016-02)




Primeira reunião segunda-feira 29/08/16 as 15h.

Local: LSE




Tom A.B. Snijders (2011). Statistical Models for Social Networks.

Eric D. Kolaczyk (2009). Statistical Analysis of Network Data: Methods and Models.


Community Detection in Networks

Yuan Zhang, Elizaveta Levina, Ji Zhu. (2015). Community Detection in Networks with Node Features.

Yuan Zhang, Elizaveta Levina and Ji Zhu (2015). Detecting Overlapping Communities in Networks Using Spectral Methods.


Yuan Zhang, Elizaveta Levina and Ji Zhu. (2015). Estimating network edge probabilities by neighbourhood smoothing.


Peter D. Hoff, Adrian E. Raftery, and Mark S. Handcock. (2002). Latent Space Approaches to Social Network Analysis.


Morten Mørup and Mikkel N. Schmidt. Bayesian Community Detection.


Charles Blundell e Yee Whye The. Bayesian Hierarchical Community Discovery.


Jiqiang Guo, Alyson G. Wilson e Daniel J. Nordman (2013). Bayesian Nonparametric Models for Community



Junxian Geng , Anirban Bhattacharya , Debdeep Pati  (2016). Probabilistic community detection with unknown

number of communities.


Mark S. Handcock e Adrian E. Raftery. (2007). Model-based clustering for social networks


Stochastic Blocmodels


Karl Rohe, Tai Qin, and Bin Yu (2015). Co-clustering for directed graphs: the Stochastic

co-Blockmodel and spectral algorithm Di-Sim.


Tai Qin e Karl Rohe (2013). Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel.


Karl Rohe, Sourav Chatterjee and Bin Yu (2011). Spectral clustering and the high-dimensional stochastic blockmodel



Multiplex Network analysis


Guangyao Zhu e Kan Li (2014). A unified Model for Community Detection of Multiples Networks. 

Isabella Gollini and Thomas Brendan Murphy. (2014). Joint Modelling of Multiple Network Views. 

Michael Salter-Townshend e Tyler H. McCormick (2013). Latent Space Models for Multiview Network Data 



Bayesian Network


 K. B. Korb e A. E. Nicholson. Bayesian Artificial Intelligence. Computer Science and Data Analysis. Chapman & Hall. CRC, Boca Raton, 2004.