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Classifying Sleeping Beauties and Princes Using Citation Rarity

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Complex Networks & Their Applications IX (COMPLEX NETWORKS 2020 2020)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 943))

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Abstract

The scientific community sometimes resists important scientific findings initially. This is the so-called “delayed recognition.” A “sleeping beauty (SB),” a representative phenomenon of delayed recognition, is a paper reported by a Prince (PR) paper. The SB includes many key breakthrough concepts for resolving scientific problems. Although many PRs discover their SBs, it is still unknown how they do that because the citation culture differs depending on the category of the paper. This study classifies SBs and their PR pairs using citation rarity within clusters that represent a unique category of a paper. Results show that citation rarity corresponds to the types of contributions to PR papers. Rare citations explore methodological insights into PR fields. Meanwhile, common citations can lead to rediscovery of the core concepts of a sleeping beauty. Furthermore, informatics and materials sciences cover major studies that include citations for SBs, whereas biological subjects find key papers through rediscovery. Results indicate that different categories of citations yield different types of SBs.

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Authors and Affiliations

  1. Department of Technology Management for Innovation, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

    Takahiro Miura, Kimitaka Asatani & Ichiro Sakata

Authors
  1. Takahiro Miura
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  2. Kimitaka Asatani
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  3. Ichiro Sakata
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Corresponding author

Correspondence to Takahiro Miura .

Editor information

Editors and Affiliations

  1. Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

    Rosa M. Benito

  2. IUT Lumière, University of Lyon, Bron Cedex, France

    Chantal Cherifi

  3. LIB, UFR Sciences et Techniques, Université de Bourgogne, Dijon, France

    Hocine Cherifi

  4. Grupo Interdisciplinar de Sistemas Complejos, Departamento de Matematicas, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA

    Luis Mateus Rocha

  6. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Tarragona, Spain

    Marta Sales-Pardo

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Miura, T., Asatani, K., Sakata, I. (2021). Classifying Sleeping Beauties and Princes Using Citation Rarity. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_26

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  • DOI: https://doi.org/10.1007/978-3-030-65347-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65346-0

  • Online ISBN: 978-3-030-65347-7

  • eBook Packages: EngineeringEngineering (R0)

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