You Never Walk Alone: Recommending Academic Events Based on Social Network Analysis
Combining Social Network Analysis and recommender systems is a challenging research field. In scientific communities, recommender systems have been applied to provide useful tools for papers, books as well as expert finding. However, academic events (conferences, workshops, international symposiums etc.) are an important driven forces to move forwards cooperation among research communities. We realize a SNA based approach for academic events recommendation problem. Scientific communities analysis and visualization are performed to provide an insight into the communities of event series. A prototype is implemented based on the data from DBLP and EventSeer.net, and the result is observed in order to prove the approach.
KeywordsRecommender systems Social Network Analysis community analysis community of practice information visualization
Unable to display preview. Download preview PDF.
- 3.Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web, pp. 285–295. ACM Press, New York (2001)Google Scholar
- 4.Breese, J.S., Heckerman, D., Kadie, C.M.: Empirical analysis of predictive algorithms for collaborative filtering, pp. 43–52 (1998)Google Scholar
- 7.Latour, B.: On recalling ant. In: Law, J., Hassard, J. (eds.) Actor-Network Theory and After, pp. 15–25 (1999)Google Scholar
- 8.Denev, D.: Multidimensional Patterns of Disturbance in Digital Social Networks. Master’s thesis, RWTH Aachen University (2006)Google Scholar
- 9.Couldry, N.: Actor Network Theory and Media: Do They Connect and On What Terms? In: Hepp, A., et al. (eds.) Cultures of Connectivity. School of Economics and Political Science, London, pp. 1–14 (2004)Google Scholar
- 10.Newman, M.E.: Scientific collaboration networks. i. network construction and fundamental results. Phys. Rev. E. Stat. Nonlin. Soft. Matter. Phys. 64(1-2) (2001)Google Scholar
- 12.Huang, T.H., Huang, M.L.: Analysis and visualization of co-authorship networks for understanding academic collaboration and knowledge domain of individual researchers. In: CGIV 2006: Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation, pp. 18–23. IEEE Computer Society, Washington (2006)Google Scholar
- 13.Kienle, A., Wesser, M.: Principles for cultivating scientific communities of practice. In: Proceedings of the 2nd International Conference on Communities and Technologies, pp. 283–299. Springer Netherlands (2005)Google Scholar
- 14.Wenger, E., McDermott, R., Snyder, W.M.: Cutivating Communities of Practice: A guid to Managing Knowledge. Havard Business School Press, Campridge (2002)Google Scholar
- 19.McNee, S.M., Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S.K., Rashid, A.M., Konstan, J.A., Riedl, J.: On the recommending of citations for research papers. In: Proceedings of the 2002 ACM conference on Computer supported cooperative work, pp. 116–125. ACM Press, New York (2002)CrossRefGoogle Scholar
- 21.Torres, R., McNee, S.M., Abel, M., Konstan, J.A., Riedl, J.: Enhancing digital libraries with TechLens+. In: Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 228–236. ACM Press, New York (2004)Google Scholar