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Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process

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  • Yang, Jinqing
  • Bu, Yi
  • Lu, Wei
  • Huang, Yong
  • Hu, Jiming
  • Huang, Shengzhi
  • Zhang, Li

Abstract

Knowledge diffusion is a significant driving force behind discipline development and technological innovation. Keyword is a unique knowledge diffusion trajectory, in which the sleeping beauty phenomenon sometimes appears. In this paper, we first put forward the concept of Keyword Sleeping Beauties (KSBs) on the basis of the scientific literature phenomenon of sleeping beauties. Then, we construct a parameter-free identification method to distinguish KSBs based on beauty coefficient criteria. Furthermore, we analyze the intrinsic and extrinsic influencing factors to explore the awakening mechanism of KSBs. The experiment results show that sleeping beauty phenomena also exist in the keyword diffusion trajectory and 284 KSBs are identified. The depth of sleep has a positive correlation with awakening intensity, while the length of sleep has a negative correlation with awakening intensity. In the two years of pre-awakening, KSBs tend to appear in the journals with a higher impact factor. In addition, the adoption frequency and the number of KSBs both increase obviously in the one year of pre-awakening. The findings of this paper enrich the patterns of knowledge diffusion and extend academic thinking on the sleeping beauty in science.

Suggested Citation

  • Yang, Jinqing & Bu, Yi & Lu, Wei & Huang, Yong & Hu, Jiming & Huang, Shengzhi & Zhang, Li, 2022. "Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process," Journal of Informetrics, Elsevier, vol. 16(1).
    • Handle: RePEc:eee:infome:v:16:y:2022:i:1:s1751157721001103
    DOI: 10.1016/j.joi.2021.101239
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    2. Chakraborty, Joyita & Pradhan, Dinesh K. & Nandi, Subrata, 2024. "A multiple k-means cluster ensemble framework for clustering citation trajectories," Journal of Informetrics, Elsevier, vol. 18(2).
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