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 editorsIwami, Shino; Ojala, Arto; Watanabe, Chihiro; Neittaanmäki, Pekka

Journal or seriesScientometrics

ISSN0138-9130

eISSN1588-2861

Publication year2020

Volume122

Issue number1

Pages range3-21

PublisherSpringer

Publication countryHungary

Publication languageEnglish

DOIhttps://doi.org/10.1007/s11192-019-03284-9

Publication open accessOpenly available

Publication channel open accessPartially 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.


Keywordslines of businessinformation technologydevelopment (passive)technological developmentclustersbig datacomputer scienceinformation sciencelibrary sciencebibliometrics

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


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Ministry reportingYes

Reporting Year2020

JUFO rating2


Last updated on 2024-03-04 at 21:07