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A new bibliographic coupling measure with descriptive capability

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  • Rey-Long Liu

    (Tzu Chi University)

Abstract

Bibliographic coupling (BC) is an effective measure to estimate the similarity between two scholarly articles (i.e., inter-article similarity between the two articles). It works on out-link references of articles (i.e., those references cited by the articles), and is essential for relatedness analysis and topic clustering of scholarly articles. In this paper, we present a new BC measure DescriptiveBC, which employs the titles of the out-link references to improve BC in two ways: given a target article a, DescriptiveBC provides more accurate information about how (based on numerical inter-article similarity) and why (based on textual descriptive terms) a scholarly article is related to a. Visualization of the information can support the identification, clustering, mapping, and navigation of the related evidence in scientific literature. Empirical evaluation justifies the contributions of DescriptiveBC. Release of the reference titles in each article is thus helpful for the dissemination of research findings in scientific literature, and DescriptiveBC can be incorporated into search engines of scholarly articles to help prospective researchers to navigate through the space of related articles online.

Suggested Citation

  • Rey-Long Liu, 2017. "A new bibliographic coupling measure with descriptive capability," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 915-935, February.
    • Handle: RePEc:spr:scient:v:110:y:2017:i:2:d:10.1007_s11192-016-2196-7
    DOI: 10.1007/s11192-016-2196-7
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    References listed on IDEAS

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    Cited by:

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    2. Manal Benatiya Andaloussi, 2024. "A Bibliometric Literature Review of Digital Supply Chain: Trends, Insights, and Future Directions," SAGE Open, , vol. 14(2), pages 21582440241, April.
    3. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    4. Salvatore Esposito De Falco & Raffaella Montera & Sabrina Leo & Francesco Laviola & Pietro Vito & Domenico Sardanelli & Gianpaolo Basile & Giulia Nevi & Raffaele Alaia, 2024. "Trends and patterns in ESG research: A bibliometric odyssey and research agenda," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 3703-3723, September.

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    More about this item

    Keywords

    Bibliographic coupling; Inter-article similarity; Descriptive capability; Reference titles;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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