A SIR epidemic model for citation dynamics

Autor(es)

Reia, Sandro M. ^[1] ; Fontanari, Jose F. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Fis Sao Carlos, Caixa Postal 369, BR-13560970 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: EUROPEAN PHYSICAL JOURNAL PLUS; v. 136, n. 2 FEB 12 2021.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 20/03041-3 - Modelagem matemática e computacional nas ciências sociais
• Beneficiário: José Fernando Fontanari
• Modalidade de apoio: Auxílio à Pesquisa - Regular