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Capturing the salient aspects of IoT research: A Social Network Analysis

Author

Listed:
  • Sujit Bhattacharya

    (CSIR-National Institute of Science, Technology and Development Studies (NISTADS)
    AcSIR at NISTADS Campus)

  • Ravinder Kumar

    (Guru Gobind Singh Indraprastha University)

  • Shubham Singh

    (CSIR-National Institute of Science, Technology and Development Studies (NISTADS))

Abstract

Internet of Things (IoT) is integration of several technologies and communication solutions with many of the technologies reaching maturity stage and many are evolving. In recent years, IoT has emerged as one of the most exciting area of research and innovation activity with huge transformative potential. Smart homes, smart vehicles, smart clothes, autonomous vehicles, smart agriculture and a host of other applications are dependent in various ways upon the maturation of IoT. Research in this area is getting more application oriented, expansive in scope with loci of research and innovation dispersed across academia, research institutions and industry. It is thus becoming a challenging as well as a useful exercise to know the structure and dynamics of this field. The paper is centered on this issue; it tries to capture the intellectual structure of this field and research trends from quantitative and statistical analysis of research publications. Conceptual connections are constructed from linkages among keywords using tools and techniques of Social Network Analysis which is also used in constructing the conceptual framework for the study.

Suggested Citation

  • Sujit Bhattacharya & Ravinder Kumar & Shubham Singh, 2020. "Capturing the salient aspects of IoT research: A Social Network Analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 361-384, October.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:1:d:10.1007_s11192-020-03620-4
    DOI: 10.1007/s11192-020-03620-4
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    References listed on IDEAS

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    3. Bei-Ni Yan & Tian-Shyug Lee & Tsung-Pei Lee, 2015. "Mapping the intellectual structure of the Internet of Things (IoT) field (2000–2014): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1285-1300, November.
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