A1 Journal article (refereed)
A bibliometric approach to finding fields that co-evolved with information technology (2020)

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

The research was funded by Strategic Research Council at the Research Council of Finland.

JYU authors or editors

Publication details

All authors or editors: Iwami, Shino; Ojala, Arto; Watanabe, Chihiro; Neittaanmäki, Pekka

Journal or series: Scientometrics

ISSN: 0138-9130

eISSN: 1588-2861

Publication year: 2020

Volume: 122

Issue number: 1

Pages range: 3-21

Publisher: Springer

Publication country: Hungary

Publication language: English

DOI: https://doi.org/10.1007/s11192-019-03284-9

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/66309

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.

Keywords: lines of business; information technology; development (passive); technological development; clusters; big data; computer science; information science; library science; bibliometrics

Free keywords: co-evolution; academic landscape; big data; network analysis; citation analysis; clustering; unsupervised classification; cosine similarity; horizon scanning; exploratory scanning

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Related projects

Ministry reporting: Yes

Reporting Year: 2020

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