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Enhancing the robustness of the disruption metric against noise

Author

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  • Nan Deng

    (Beijing Normal University)

  • An Zeng

    (Beijing Normal University)

Abstract

Measuring the novelty of scientific papers is an important research topic. If most subsequent researches of a focal paper only cite itself instead of citing its references as well, this paper could be highly disruptive as it may start a new stream of research. However, due to preferential attachment, even if a focal paper is very disruptive, the subsequent works may still cite both the focal paper and some of its highly cited references. To eliminate the noise caused by these highly cited references, we modify the disruption metric and analyze its performance and robustness. The results show that the improved method could better distinguish Nobel prize winning papers from the others. In addition, the resultant ranking is more stable against the highly cited references and random link removal on citation network.

Suggested Citation

  • Nan Deng & An Zeng, 2023. "Enhancing the robustness of the disruption metric against noise," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2419-2428, April.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:4:d:10.1007_s11192-023-04644-2
    DOI: 10.1007/s11192-023-04644-2
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    References listed on IDEAS

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    1. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
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    3. Lutz Bornmann & Sitaram Devarakonda & Alexander Tekles & George Chacko, 2020. "Disruptive papers published in Scientometrics: meaningful results by using an improved variant of the disruption index originally proposed by Wu, Wang, and Evans (2019)," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1149-1155, May.
    4. Lindell Bromham & Russell Dinnage & Xia Hua, 2016. "Interdisciplinary research has consistently lower funding success," Nature, Nature, vol. 534(7609), pages 684-687, June.
    5. Russell J. Funk & Jason Owen-Smith, 2017. "A Dynamic Network Measure of Technological Change," Management Science, INFORMS, vol. 63(3), pages 791-817, March.
    6. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    7. Lutz Bornmann & Alexander Tekles, 2019. "Disruptive papers published in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 331-336, July.
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    Cited by:

    1. Zhang, Ming-Ze & Wang, Tang-Rong & Lyu, Peng-Hui & Chen, Qi-Mei & Li, Ze-Xia & Ngai, Eric W.T., 2024. "Impact of gender composition of academic teams on disruptive output," Journal of Informetrics, Elsevier, vol. 18(2).

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