Improved Community Interaction Through Context Based Citation Analysis
Traditional citation networks which form the basis of study of community interaction tend to leave out a lot of articles which are related to a community but have not been directly cited by the members of it. As a result, the parameters estimated during the study of community interaction remain fairly inaccurate. In this work, we tend to perform a more accurate community interaction study by proposing a context-aware citation network which allows inclusion of papers to a community which have both direct as well as indirect relevance to the existing members of the community. A comparative analysis of computer science community networks built upon the proposed citation network and traditional citation network using the CiteSeer dataset show about 20–30% better results in favour of the former.
- 1.Chen, P., Redner, S.: Community structure of the physical review citation network. J. Inf. 4(3), 278–290 (2010). http://www.sciencedirect.com/science/article/pii/S1751157710000027 CrossRefGoogle Scholar
- 2.Chakrabort, T., Sikdar, S., Tammana, V., Ganguly, N., Mukherjee, A.: Computer science fields as ground-truth communities: their impact, rise and fall. In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, New York, NY, USA, pp. 426–433. ACM (2013). http://doi.acm.org/10.1145/2492517.2492536
- 3.He, Q., Pei, J., Kifer, D., Mitra, P., Giles, L.: Context-aware citation recommendation. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, New York, NY, USA, pp. 421–430. ACM, (2010). http://doi.acm.org/10.1145/1772690.1772734
- 4.Huang, W., Wu, Z., Chen, L., Mitra, P., Giles, C.L.: A neural probabilistic model for context based citation recommendation. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 25–30 January 2015, Austin, Texas, USA, pp. 2404–2410 (2015). http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9737
- 6.Caragea, C., Bulgarov, F.A., Godea, A., Gollapalli, S.D.: Citation-enhanced keyphrase extraction from research papers: a supervised approach. In: EMNLP, vol. 14, pp. 1435–1446 (2014)Google Scholar