Abstract
This work proposes Field of Study networks as a novel network representation for use in scientometric analysis. We describe the formation of Field of Study (FoS) networks, which relate research topics according to the authors who publish in them, from corpora of articles where fields of study can be identified. FoS networks are particularly useful for the distant reading of large datasets of research papers, through the lens of exploring multidisciplinary science. To support this, we include case studies which explore multidisciplinary research in corpora of varying size and scope; namely, 891 articles relating to network science research and 166,000 COVID-19 related articles.
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This research was supported by Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289_P2.
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Cunningham, E., Smyth, B., Greene, D. (2022). Navigating Multidisciplinary Research Using Field of Study Networks. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_10
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