High prevalence regimes in the pair-quenched mean-field theory for the susceptible-infected-susceptible model on networks (2020)
- Authors:
- Autor USP: RODRIGUES, FRANCISCO APARECIDO - ICMC
- Unidade: ICMC
- DOI: 10.1103/PhysRevE.102.012313
- Subjects: REDES COMPLEXAS; ANÁLISE NUMÉRICA; TEORIA DE CAMPOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: College Park
- Date published: 2020
- Source:
- Título do periódico: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics
- ISSN: 2470-0045
- Volume/Número/Paginação/Ano: v. 102, n. 1, p. 012313-1-012313-9, 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
SILVA, Diogo H e RODRIGUES, Francisco Aparecido e FERREIRA, Silvio C. High prevalence regimes in the pair-quenched mean-field theory for the susceptible-infected-susceptible model on networks. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 102, n. 1, p. 012313-1-012313-9, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.102.012313. Acesso em: 30 set. 2024. -
APA
Silva, D. H., Rodrigues, F. A., & Ferreira, S. C. (2020). High prevalence regimes in the pair-quenched mean-field theory for the susceptible-infected-susceptible model on networks. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 102( 1), 012313-1-012313-9. doi:10.1103/PhysRevE.102.012313 -
NLM
Silva DH, Rodrigues FA, Ferreira SC. High prevalence regimes in the pair-quenched mean-field theory for the susceptible-infected-susceptible model on networks [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2020 ; 102( 1): 012313-1-012313-9.[citado 2024 set. 30 ] Available from: https://doi.org/10.1103/PhysRevE.102.012313 -
Vancouver
Silva DH, Rodrigues FA, Ferreira SC. High prevalence regimes in the pair-quenched mean-field theory for the susceptible-infected-susceptible model on networks [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2020 ; 102( 1): 012313-1-012313-9.[citado 2024 set. 30 ] Available from: https://doi.org/10.1103/PhysRevE.102.012313 - Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks
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Informações sobre o DOI: 10.1103/PhysRevE.102.012313 (Fonte: oaDOI API)
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