Ranking scientific articles in a dynamically evolving citation network

Xiaorui Jiang, Chenhui Gao, Ronghua Liang

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Scientific ranking has long been a hot and important topic in both computer science and scientometrics. A lot of statistics-based and graph-based methods have been proposed for calculating a prestige value as the assessment of each paper's scientific influence. However, being ignorant of the dynamic nature of scientific publication and science evolution, all these methods present a biased point of view of scientific influence. Besides, the ranking results of these methods are not accessible to users because of lack of an explainable model. As an alternative to the state-of-the-art, this paper proposes a cognitively explainable model by integrating three factors in scientific development including knowledge accumulation by individual papers, knowledge diffusion through citation behaviour and knowledge decay with time elapse. Evaluated on ACL Anthology Network using the reference lists of four textbooks or handbooks as the gold standard, the proposed model is proved to be effective in scientific ranking and potential for new insights into the definition and measurement of scientific influence.

Original languageEnglish
Title of host publicationProceedings - 2016 12th International Conference on Semantics, Knowledge and Grids
Subtitle of host publicationSKG 2016
EditorsHai Zhuge, Xiaoping Sun
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages154-157
Number of pages4
ISBN (Electronic)978-1-5090-4795-6
DOIs
Publication statusPublished - 11 Jan 2017
Event12th International Conference on Semantics, Knowledge and Grids, SKG 2016 - Beijing, China
Duration: 15 Aug 201617 Aug 2016

Conference

Conference12th International Conference on Semantics, Knowledge and Grids, SKG 2016
Country/TerritoryChina
CityBeijing
Period15/08/1617/08/16

Bibliographical note

-

Fingerprint

Dive into the research topics of 'Ranking scientific articles in a dynamically evolving citation network'. Together they form a unique fingerprint.
  • Automatic question answering based on single document

    Wang, X., Xu, B. & Zhuge, H., 11 Jan 2017, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Zhuge, H. & Sun, X. (eds.). Piscataway, NJ (US): IEEE, p. 90-96 7 p. 7815082

    Research output: Chapter in Book/Published conference outputConference publication

  • Summarization of related work through citations

    Chen, J. & Zhuge, H., 11 Jan 2017, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Zhuge, H. & Sun, X. (eds.). IEEE, p. 54-61 8 p.

    Research output: Chapter in Book/Published conference outputConference publication

  • The role of cause-effect link within scientific paper

    Cao, M., Sun, X. & Zhuge, H., 11 Jan 2017, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Zhuge, H. & Sun, X. (eds.). Piscataway, NJ (US): IEEE, p. 32-39 8 p. 7815074

    Research output: Chapter in Book/Published conference outputConference publication

Cite this