Citation count prediction: Learning to estimate future citations for literature

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 1247-1252

  Yan, Rui ^a   Tang, Jie ^b   Liu, Xiaobing ^a   Shan, Dongdong ^a   Li, Xiaoming ^a  

^a PEKING UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

citation count prediction; data engineering; regression models

Indexed keywords

ALTERNATIVE ALGORITHMS; COEFFICIENT OF DETERMINATION; DATA ENGINEERING; DATA SETS; FUNDAMENTAL CHARACTERISTICS; LEARNING PROCESS; PERFORMANCE BASED; PREDICTIVE MODELS; PREDICTIVE PERFORMANCE; REGRESSION MODEL; RESEARCH FIELDS; TIME-PERIODS;

KNOWLEDGE MANAGEMENT; PUBLISHING; REGRESSION ANALYSIS; RESEARCH;

FORECASTING;

EID: 83055161680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063757     Document Type: Conference Paper

References (20)

1. S. Bethard and D. Jurafsky. Who should I cite: learning literature search models from citation behavior. In Proceedings of the 19th ACM international conference on Information and knowledge management, pages 609-618. ACM, 2010.
2. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 3:993-1022, March 2003.
3. L. Breiman. Classification and regression trees. Chapman & Hall/CRC, 1984.
4. L. Dietz, S. Bickel, and T. Scheffer. Unsupervised prediction of citation influences. In Proceedings of the 24th international conference on Machine learning, ICML '07, pages 233-240, New York, NY, USA, 2007. ACM.
5. J. Dimitrov, S. Kaveri, and J. Bayry. Metrics: journal's impact factor skewed by a single paper. Nature, 466(7303):179-179, 2010.
6. E. Garfield. Impact factors, and why they won't go away. Nature, 411(6837):522-522, 2001.
7. Q. He, J. Pei, D. Kifer, P. Mitra, and L. Giles. Context-aware citation recommendation. In Proceedings of the 19th international conference on World wide web, WWW '10, pages 421-430, New York, NY, USA, 2010. ACM.
8. J. Hirsch. An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46):16569, 2005.
9. Z. Huang, X. Li, and H. Chen. Link prediction approach to collaborative filtering. In Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, JCDL '05, pages 141-142, New York, NY, USA, 2005. ACM.
10. D. Liben-Nowell and J. Kleinberg. The link-prediction problem for social networks. Journal of the American Society for Information Science and Technology, 58(7):1019-1031, 2007. (Pubitemid 46830394)
11. L. Liu, J. Tang, J. Han, M. Jiang, and S. Yang. Mining topic-level influence in heterogeneous networks. In Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pages 199-208, New York, NY, USA, 2010. ACM.
12. R. Picard and R. Cook. Cross-validation of regression models. Journal of the American Statistical Association, 79(387):575-583, 1984.
13. A. Siddharthan and S. Teufel. Whose idea was this, and why does it matter? attributing scientific work to citations. In HLT-NAACL, pages 316-323, 2007.
14. A. Smola and B. Schölkopf. A tutorial on support vector regression. Statistics and computing, 14(3):199-222, 2004. (Pubitemid 39063488)
15. Y. Sun and C. Giles. Popularity weighted ranking for academic digital libraries. Advances in Information Retrieval, pages 605-612, 2007.
16. Y. Sun, Y. Yu, and J. Han. Ranking-based clustering of heterogeneous information networks with star network schema. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pages 797-806, New York, NY, USA, 2009. ACM.
17. J. Tang, J. Sun, C. Wang, and Z. Yang. Social influence analysis in large-scale networks. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pages 807-816, New York, NY, USA, 2009. ACM.
18. J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Arnetminer: extraction and mining of academic social networks. In Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '08, pages 990-998, New York, NY, USA, 2008. ACM.
19. D. Zhou, X. Ji, H. Zha, and C. L. Giles. Topic evolution and social interactions: how authors effect research. In Proceedings of the 15th ACM international conference on Information and knowledge management, CIKM '06, pages 248-257, New York, NY, USA, 2006. ACM.
20. M. Zitt. Citing-side normalization of journal impact: A robust variant of the Audience Factor. Journal of Informetrics, 4(3):392-406, 2010.