1. Adamic, L.A., & Glance, N. (2005). The Political Blogosphere and the 2004 U.S. Election. In Proceedings of the 3rd international workshop on Link discovery - LinkKDD ’05 (pp. 36–43). http://dl.acm.org/citation.cfm?id=1134271.1134277\nhttp://portal.acm.org/citation.cfm?doid=1134271.1134277 .
2. Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998). Automatic subspace clustering of high dimensional data for data mining applications (vol. 27). ACM.
3. Anderson, A., Huttenlocher, D., & Kleinberg, J. (2012). Discovering Value from community activity on focused question answering sites : a case study of stack overflow. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 850–858).
4. Arapakis, I., Lalmas, M., Cambazoglu, B. B., Marcos, M., & Jose, J. M. (2014). User engagement in online news: under the scope of sentiment, interest, affect, and gaze. Journal of the Association for Information Science and Technology, 65(10), 1988–2005.
5. Attfield, S., Kazai, G., Lalmas, M., & Piwowarski, B. (2011). Towards a science of user engagement (position paper). WSDM Workshop on User Modelling for Web Applications. http://www.dcs.gla.ac.uk/~mounia/Papers/engagement.pdf .