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A refined method for computing bibliographic coupling strengths

Author

Listed:
  • Shen, Si
  • Zhu, Danhao
  • Rousseau, Ronald
  • Su, Xinning
  • Wang, Dongbo

Abstract

We propose a new method for computing the bibliographic coupling strength between two documents. This new method is based on the TF-IDF formula from the field of information retrieval. It is shown that this formula is a valid alternative for the original formula introduced by Kessler and is, from a probabilistic point of view, a correction of the Vladutz-Cook formula. We further define a cosine based similarity formula generalizing the Sen-Gan coupling angle formula.

Suggested Citation

  • Shen, Si & Zhu, Danhao & Rousseau, Ronald & Su, Xinning & Wang, Dongbo, 2019. "A refined method for computing bibliographic coupling strengths," Journal of Informetrics, Elsevier, vol. 13(2), pages 605-615.
    • Handle: RePEc:eee:infome:v:13:y:2019:i:2:p:605-615
    DOI: 10.1016/j.joi.2019.01.012
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    Citations

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    Cited by:

    1. Goutsmedt, Aurélien & Truc, Alexandre, 2023. "An independent European macroeconomics? A history of European macroeconomics through the lens of the European Economic Review," European Economic Review, Elsevier, vol. 158(C).
    2. Ruhao Zhang & Junpeng Yuan, 2022. "Enhanced author bibliographic coupling analysis using semantic and syntactic citation information," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7681-7706, December.
    3. Avick Kumar Dey & Pijush Kanti Dutta Pramanik & Prasenjit Choudhury & Goutam Bandopadhyay, 2021. "Distinctive author ranking using DEA indexing," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 601-620, April.
    4. Alexandre Truc, 2022. "The Disciplinary Mobility of Core Behavioral Economists," GREDEG Working Papers 2022-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Müge Akbulut & Yaşar Tonta & Howard D. White, 2020. "Related records retrieval and pennant retrieval: an exploratory case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 957-987, February.
    6. Yadav, Pratyush & Pervin, Nargis, 2022. "Towards efficient navigation in digital libraries: Leveraging popularity, semantics and communities to recommend scholarly articles," Journal of Informetrics, Elsevier, vol. 16(4).

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