A bibliometric approach to finding fields that co-evolved with information technology
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
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ScientometricsDate
2020Copyright
© 2019 The Authors
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.
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SpringerISSN Search the Publication Forum
0138-9130Keywords
co-evolution academic landscape big data network analysis citation analysis clustering unsupervised classification cosine similarity horizon scanning exploratory scanning klusterit bibliometriikka kehitys teknologinen kehitys tietojenkäsittelytieteet kirjastotiede informaatiotutkimus toimialat tietotekniikka
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https://converis.jyu.fi/converis/portal/detail/Publication/33493443
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Research Council of FinlandFunding program(s)
Strategic research programmes, AoFAdditional 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. ...License
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