1. 1. D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent dirichlet allocation,” Journal of machine Learning Research, vol. 3, pp. 993 – 1022, 2003.
   2. D. M. Blei, “Probabilistic topic models,” Communications of the ACM, vol. 55, no. 4, pp. 77–84, Apr. 2012.
   3. J. Xuan, J. Lu, G. Zhang, R. Yi Da Xu, and X. Luo, “Infinite author topic model based on mixed gammanegative binomial process,” in 2015 IEEE International Conference on Data Mining, Nov 2015, pp. 489–498
   4. Z. Guo, Z. Zhang, S. Zhu, Y. Chi, and Y. Gong, “A two-level topic model towards knowledge discovery from citation networks,” IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 4, pp. 780–794, April 2014.
   5. B. Klimt and Y. Yang, “The Enron corpus: A new dataset for email classification research,” in Machine learning: ECML 2004. Springer, 2004, pp. 217–226. 
   6. H. W. Park, “Hyperlink network analysis: A new method for the study of social structure on the web,” Connections, vol. 25, no. 1, pp. 49–61, 2003.
   7. C. Wang, J. Lu, and G. Zhang, “A constrained clustering approach to duplicate detection among relational data,” in Proceedings of 11th Pacific-Asia Conference in Knowledge Discovery and Data Mining, ser. PAKDD ‟07, Nanjing, China, 2007, pp. 308–319
   8. J. Chang and D. M. Blei, “Relational topic models for document networks,” in AISTATS, 2009, pp. 81–88.
   9. J. Chang, D. M. Blei et al., “Hierarchical relational models for document networks,” The Annals of Applied Statistics, vol. 4, no. 1, pp. 124–150, 2010.
   10. N. Chen, J. Zhu, F. Xia, and B. Zhang, “Discriminative relational topic models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PP, no. 99, pp. 1–1, 2014
   11. J. Xuan, J. Lu, G. Zhang, and X. Luo, “Topic model for graph mining,” IEEE Transactions on Cybernetics, vol. 45, no. 12, pp. 2792–2803, Dec 2015.
   12. A. McCallum, X. Wang, and A. Corrada-Emmanuel, “Topic and role discovery in social networks with experiments on Enron and academic email.” Journal of Artificial Intelligence Research, vol. 30, pp. 249–272, 2007