Detecting topic evolution in scientific literature

How can citations help?

Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mitra, Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

86 Citations (Scopus)

Abstract

Understanding how topics in scientific literature evolve is an interesting and important problem. Previous work simply models each paper as a bag of words and also considers the impact of authors. However, the impact of one document on another as captured by citations, one important inherent element in scientific literature, has not been considered. In this paper, we address the problem of understanding topic evolution by leveraging citations, and develop citation-aware approaches. We propose an iterative topic evolution learning framework by adapting the Latent Dirichlet Allocation model to the citation network and develop a novel inheritance topic model. We evaluate the effectiveness and efficiency of our approaches and compare with the state of the art approaches on a large collection of more than 650,000 research papers in the last 16 years and the citation network enabled by CiteSeerX. The results clearly show that citations can help to understand topic evolution better.

Original languageEnglish
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
Pages957-966
Number of pages10
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventACM 18th International Conference on Information and Knowledge Management, CIKM 2009 - Hong Kong
Duration: 2 Nov 20096 Nov 2009

Other

OtherACM 18th International Conference on Information and Knowledge Management, CIKM 2009
CityHong Kong
Period2/11/096/11/09

Fingerprint

Citations
Topic model
Dirichlet

Keywords

  • Citations
  • Inheritance topic model
  • Topic evolution

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Decision Sciences(all)

Cite this

He, Q., Chen, B., Pei, J., Qiu, B., Mitra, P., & Giles, L. (2009). Detecting topic evolution in scientific literature: How can citations help? In International Conference on Information and Knowledge Management, Proceedings (pp. 957-966) https://doi.org/10.1145/1645953.1646076

Detecting topic evolution in scientific literature : How can citations help? / He, Qi; Chen, Bi; Pei, Jian; Qiu, Baojun; Mitra, Prasenjit; Giles, Lee.

International Conference on Information and Knowledge Management, Proceedings. 2009. p. 957-966.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

He, Q, Chen, B, Pei, J, Qiu, B, Mitra, P & Giles, L 2009, Detecting topic evolution in scientific literature: How can citations help? in International Conference on Information and Knowledge Management, Proceedings. pp. 957-966, ACM 18th International Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, 2/11/09. https://doi.org/10.1145/1645953.1646076
He Q, Chen B, Pei J, Qiu B, Mitra P, Giles L. Detecting topic evolution in scientific literature: How can citations help? In International Conference on Information and Knowledge Management, Proceedings. 2009. p. 957-966 https://doi.org/10.1145/1645953.1646076
He, Qi ; Chen, Bi ; Pei, Jian ; Qiu, Baojun ; Mitra, Prasenjit ; Giles, Lee. / Detecting topic evolution in scientific literature : How can citations help?. International Conference on Information and Knowledge Management, Proceedings. 2009. pp. 957-966
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