A SIR epidemic model for citation dynamics - BV FAPESP
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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A SIR epidemic model for citation dynamics

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Author(s):
Reia, Sandro M. [1] ; Fontanari, Jose F. [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Inst Fis Sao Carlos, Caixa Postal 369, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: EUROPEAN PHYSICAL JOURNAL PLUS; v. 136, n. 2 FEB 12 2021.
Web of Science Citations: 0
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.Graphic abstract (AU)

FAPESP's process: 20/03041-3 - Mathematical and computational modeling in Social Sciences
Grantee:José Fernando Fontanari
Support Opportunities: Regular Research Grants