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

Autor/inn/en	Bhattacharya, Sujit; Kumar, Ravinder; Singh, Shubham
Titel	Capturing the salient aspects of IoT research: A Social Network Analysis.
Quelle	In: Scientometrics, (2020) 1, S.361-384 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-020-03620-4
Schlagwörter	Internet of Things (IoT); Fourth Industrial Revolution (4IR); Social Network Analysis; Bibliometrics; Co-word analysis; Intellectual structure
Abstract	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.
Erfasst von	OLC
Update	2023/2/05