A bibliometric approach to finding fields that co-evolved with information technology

Abstract
Among the declining industries, for example music industry, some have been revived by information technology (IT). At the same time, in academic fields, some have expected co-evolutions between IT and other fields to cause the resurgence of either field. In this research, the clustering of citation networks with 14,438 academic papers resulted in the identification of 28 academic fields in the areas “Computer Science” or “Information Science and Library Science.” Co-evolutions between these 28 fields and citing fields to the 28 fields were evaluated by an investigation of contents; a methodology to search co-evolutions was also proposed. This paper proposes that pairs of academic fields (with both high correlation and high dissimilarity) co-evolve, and some co-evolving pairs of academic fields were found.
Main Authors
Format
Articles Research article
Published
2020
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201911124820Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
0138-9130
DOI
https://doi.org/10.1007/s11192-019-03284-9
Language
English
Published in
Scientometrics
Citation
  • Iwami, S., Ojala, A., Watanabe, C., & Neittaanmäki, P. (2020). A bibliometric approach to finding fields that co-evolved with information technology. Scientometrics, 122(1), 3-21. https://doi.org/10.1007/s11192-019-03284-9
License
CC BY 4.0Open Access
Funder(s)
Research Council of Finland
Funding program(s)
Strategic research programmes, AoF
Strategisen tutkimuksen ohjelmat STN, SA
Research Council of Finland
Additional information about funding
Open access funding provided by University of Jyväskylä (JYU). The research leading to these results has received funding from the Strategic Research Council at the Academy of Finland under Grant Agreement No 293446—Platform Value Now: Value capturing in fast-emerging platform ecosystems. The server resources are supported by the research project of Prof. Ichiro Sakata, Prof. Junichiro Mori’s laboratory in the University of Tokyo, and Prof. Yuya Kajikawa in Tokyo Institute of Technology.
Copyright© 2019 The Authors

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