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Consensus formation in science modeled by aggregated bibliographic coupling

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  • Nicolaisen, Jeppe
  • Frandsen, Tove Faber

Abstract

The level of consensus in science has traditionally been measured by a number of different methods. The variety is important as each method measures different aspects of science and consensus. Citation analytical studies have previously measured the level of consensus using the scientific journal as their unit of analysis. To produce a more fine grained citation analysis one needs to study consensus formation on an even more detailed level – i.e. the scientific document or article. To do so, we have developed a new technique that measures consensus by aggregated bibliographic couplings (ABC) between documents. The advantages of the ABC-technique are demonstrated in a study of two selected disciplines in which the levels of consensus are measured using the proposed technique.

Suggested Citation

  • Nicolaisen, Jeppe & Frandsen, Tove Faber, 2012. "Consensus formation in science modeled by aggregated bibliographic coupling," Journal of Informetrics, Elsevier, vol. 6(2), pages 276-284.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:2:p:276-284
    DOI: 10.1016/j.joi.2011.08.001
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    References listed on IDEAS

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    1. Tove Faber Frandsen & Jeppe Nicolaisen, 2008. "Intradisciplinary differences in database coverage and the consequences for bibliometric research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(10), pages 1570-1581, August.
    2. Ion Lucian Ceapraz, 2008. "The Concepts Of Specialisation And Spatial Concentration And The Process Of Economic Integration: Theoretical Relevance And Statistical Measures. The Case Of Romania’S Regions," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 2(1), pages 68-93, June.
    3. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    4. Per Ahlgren & Bo Jarneving, 2008. "Bibliographic coupling, common abstract stems and clustering: A comparison of two document-document similarity approaches in the context of science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 273-290, August.
    5. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
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    Cited by:

    1. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    2. Le Song & Guilong Zhu & Xiao Yin, 2024. "Evaluating the wisdom of scholar crowds from the perspective of knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5103-5139, September.
    3. Jeppe Nicolaisen & Tove Faber Frandsen, 2022. "Epistemic community formation: a bibliometric study of recurring authors in medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4167-4189, July.

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