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Interdisciplinary scholarly communication: an exploratory study for the field of joint attention

Author

Listed:
  • Jian Xu

    (Sun Yat-sen University)

  • Ying Ding

    (Indiana University
    Wuhan University
    Tianjin Normal University
    Jilin University)

  • Yi Bu

    (Indiana University)

  • Shuqing Deng

    (Sun Yat-sen University)

  • Chen Yu

    (Indiana University)

  • Yimin Zou

    (Zhejiang Normal University)

  • Andrew Madden

    (Sun Yat-sen University)

Abstract

Understanding communications across disciplines is critical to the promotion of interdisciplinary innovation. Using research into the psychological concept of joint attention (JA) as an example of shared interest, this paper focuses on studies of JA across three different domains (child psychology, robotics, and human–computer interaction) and analyzes topic evolution in JA in these three domains, as well as lead–lag and topic similarity between domains. Our empirical study has yielded interesting findings. First, the analysis of topic evolution indicates that the three domains have distinctive topic evolution patterns, which reflected in both the topic division and merge phenomena and points of focus. Second, lead–lag clearly exists between different domains, which allowed knowledge diffusion to be viewed from a macroscopic perspective. Third, topic similarity across different domains can be identified with its migrations and changes in content, which helps to improve understanding of the impact of topics between domains and of interdependence within disciplines. This paper provides a foundation for further research that may improve communications across disciplines, thereby facilitating interdisciplinary innovation.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:119:y:2019:i:3:d:10.1007_s11192-019-03106-y
    DOI: 10.1007/s11192-019-03106-y
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    References listed on IDEAS

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    Cited by:

    1. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    2. Xinyuan Zhang & Qing Xie & Chaemin Song & Min Song, 2022. "Mining the evolutionary process of knowledge through multiple relationships between keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2023-2053, April.

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    More about this item

    Keywords

    Interdisciplinary communication; Joint attention; Topic evolution; Lead-leg analysis;
    All these keywords.

    JEL classification:

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

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