Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion: The case of the Cambridge Journal of Economics-Reference-Cited by-同舟云学术

Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion: The case of the Cambridge Journal of Economics

Published:2023-12-19 Issue:1 Volume:129 Page:373-400
ISSN:0138-9130
Container-title:Scientometrics
language:en
Short-container-title:Scientometrics

Author:

Baccini Alberto^ORCID,Baccini Federica,Barabesi Lucio,Cioni Martina,Petrovich Eugenio,Pignalosa Daria

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11192-023-04884-2.pdf

Reference48 articles.

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3. Ambrosino, A., Cedrini, M., Davis, J. B., Fiori, S., Guerzoni, M., & Nuccio, M. (2018). What topic modeling could reveal about the evolution of economics. Journal of Economic Methodology, 25(4), 329–348.

4. Baccini, A., Barabesi, L., Khelfaoui, M., & Gingras, Y. (2019). Intellectual and social similarity among scholarly journals: An exploratory comparison of the networks of editors, authors and co-citations. Quantitative Science Studies, 1(1), 277–289.

5. Baccini, F., Barabesi, L., Baccini, A., Khelfaoui, M., & Gingras, Y. (2022a). Similarity network fusion for scholarly journals. Journal of Informetrics, 16(1), 101226. https://doi.org/10.1016/j.joi.2021.101226