Abstract
The study of citations in the scientific literature crosses the boundaries between the traditional branches of science and stands on its own as a most profitable research field dubbed the ‘science of science.’ Although the understanding of the citation histories of individual papers involves many intangible factors, the basic assumption that citations beget citations can explain most features of the empirical citation patterns. Here, we use the SIR epidemic model as a mechanistic model for the citation dynamics of well-cited papers published in selected journals of the American Physical Society. The estimated epidemiological parameters offer insight into unknown quantities as the size of the community that could cite a paper and its ultimate impact on that community. We find a good, though imperfect, agreement between the rank of the journals obtained using the epidemiological parameters and the impact factor rank.
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Data Availability Statement
This manuscript has associated data in a data repository. [Authors’ comment: The citing article pairs and article metadata used to generate the citation histories of the 300 hit papers considered in the manuscript are available under request from the APS Data Sets for Research at https://journals.aps.org/dataset.]
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Acknowledgements
We thank the American Physical Society for letting us use their citation database. The research of JFF was supported in part by Grant No. 2020/03041-3, Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) and by Grant No. 305058/2017-7 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). SMR was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.
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Reia, S.M., Fontanari, J.F. A SIR epidemic model for citation dynamics. Eur. Phys. J. Plus 136, 207 (2021). https://doi.org/10.1140/epjp/s13360-021-01199-0
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DOI: https://doi.org/10.1140/epjp/s13360-021-01199-0