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Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention

Author

Listed:
  • Jian Xu

    (Sun Yat-sen University)

  • Yi Bu

    (Indiana University)

  • Ying Ding

    (Indiana University
    Wuhan University)

  • Sinan Yang

    (Sun Yat-sen University)

  • Hongli Zhang

    (Sun Yat-sen University)

  • Chen Yu

    (Indiana University)

  • Lin Sun

    (Indiana University)

Abstract

Understanding the formation of interdisciplinary research (IDF) is critically important for the promotion of interdisciplinary development. In this paper, we adopt extracted keywords to investigate the features of interdisciplinarity development, as well as the distinct roles that different participating domains play in various periods, and detect potential barriers among domains. We take joint attention (JA) as the study domain, since it has undergone a development process from a topic of one domain to interdisciplinary research (IDR). Our empirical study has yielded interesting findings. First, we detect the phenomenon of knowledge diffusion as it evolved through three domains of JA. It enabled us to observe the shift of roles the domains played during the process of IDF, as well as the existence of potential barriers among these domains. Second, according to the diffusion and development process of JA among domains, three phases that an IDR field in general goes through were identified: a latent phase, an embryo phase, and a mature phase. Third, domains may play different roles in distinct periods, with the formation of IDR. Four roles are identified: knowledge origin, knowledge receiver, knowledge respondent, and interdisciplinary participant. This paper showcases how to detect the evolution of IDR by analyzing keyword evolution. By giving the profiles of IDR fields and descriptions of keyword evolution, it would be valuable for policy makers and regulators to promote IDR development.

Suggested Citation

  • Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
  • Handle: RePEc:spr:scient:v:117:y:2018:i:2:d:10.1007_s11192-018-2897-1
    DOI: 10.1007/s11192-018-2897-1
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Lukun Zheng & Yuhang Jiang, 2022. "Combining dissimilarity measures for quantifying changes in research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3751-3765, July.
    3. Shiyun Wang & Jin Mao & Yujie Cao & Gang Li, 2022. "Integrated knowledge content in an interdisciplinary field: identification, classification, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6581-6614, November.
    4. Sandeep Soni & Kristina Lerman & Jacob Eisenstein, 2021. "Follow the leader: Documents on the leading edge of semantic change get more citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 478-492, April.
    5. Zhao, Yi & Liu, Lifan & Zhang, Chengzhi, 2022. "Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Seyyed Reza Taher Harikandeh & Sadegh Aliakbary & Soroush Taheri, 2023. "An embedding approach for analyzing the evolution of research topics with a case study on computer science subdomains," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1567-1582, March.
    7. Jian Xu & Ying Ding & Yi Bu & Shuqing Deng & Chen Yu & Yimin Zou & Andrew Madden, 2019. "Interdisciplinary scholarly communication: an exploratory study for the field of joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1597-1619, June.
    8. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).
    9. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.

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    More about this item

    Keywords

    Interdisciplinary formation; Joint attention; Keyword evolution; Interdisciplinary communication;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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