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  • Source: Nature Communications. Unidade: ICMC

    Subjects: INFORMAÇÃO, MODELOS MATEMÁTICOS, CADEIAS DE MARKOV, BOATO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      ARRUDA, Guilherme Ferraz de et al. From subcritical behavior to a correlation-induced transition in rumor models. Nature Communications, v. 13, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41467-022-30683-z. Acesso em: 15 out. 2024.
    • APA

      Arruda, G. F. de, Jeub, L. G. S., Mata, A. S. da, Rodrigues, F. A., & Moreno, Y. (2022). From subcritical behavior to a correlation-induced transition in rumor models. Nature Communications, 13, 1-10. doi:10.1038/s41467-022-30683-z
    • NLM

      Arruda GF de, Jeub LGS, Mata AS da, Rodrigues FA, Moreno Y. From subcritical behavior to a correlation-induced transition in rumor models [Internet]. Nature Communications. 2022 ; 13 1-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1038/s41467-022-30683-z
    • Vancouver

      Arruda GF de, Jeub LGS, Mata AS da, Rodrigues FA, Moreno Y. From subcritical behavior to a correlation-induced transition in rumor models [Internet]. Nature Communications. 2022 ; 13 1-10.[citado 2024 out. 15 ] Available from: https://doi.org/10.1038/s41467-022-30683-z
  • Source: Physical Review Research. Unidade: ICMC

    Subjects: SURTOS DE DOENÇAS, HETEROGENEIDADE, REDES COMPLEXAS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      ARRUDA, Guilherme Ferraz de et al. Impact of the distribution of recovery rates on disease spreading in complex networks. Physical Review Research, v. 2, n. 1, p. 013046-1-013046-8, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevResearch.2.013046. Acesso em: 15 out. 2024.
    • APA

      Arruda, G. F. de, Petri, G., Rodrigues, F. A., & Moreno, Y. (2020). Impact of the distribution of recovery rates on disease spreading in complex networks. Physical Review Research, 2( 1), 013046-1-013046-8. doi:10.1103/PhysRevResearch.2.013046
    • NLM

      Arruda GF de, Petri G, Rodrigues FA, Moreno Y. Impact of the distribution of recovery rates on disease spreading in complex networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013046-1-013046-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013046
    • Vancouver

      Arruda GF de, Petri G, Rodrigues FA, Moreno Y. Impact of the distribution of recovery rates on disease spreading in complex networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013046-1-013046-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013046
  • Source: New Journal of Physics. Unidade: ICMC

    Assunto: REDES COMPLEXAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ARRUDA, Guilherme Ferraz de et al. A polynomial eigenvalue approach for multiplex networks. New Journal of Physics, v. 20, p. Se 2018, 2018Tradução . . Disponível em: https://doi.org/10.1088/1367-2630/aadf9f. Acesso em: 15 out. 2024.
    • APA

      Arruda, G. F. de, Cozzo, E., Rodrigues, F. A., & Moreno, Y. (2018). A polynomial eigenvalue approach for multiplex networks. New Journal of Physics, 20, Se 2018. doi:10.1088/1367-2630/aadf9f
    • NLM

      Arruda GF de, Cozzo E, Rodrigues FA, Moreno Y. A polynomial eigenvalue approach for multiplex networks [Internet]. New Journal of Physics. 2018 ; 20 Se 2018.[citado 2024 out. 15 ] Available from: https://doi.org/10.1088/1367-2630/aadf9f
    • Vancouver

      Arruda GF de, Cozzo E, Rodrigues FA, Moreno Y. A polynomial eigenvalue approach for multiplex networks [Internet]. New Journal of Physics. 2018 ; 20 Se 2018.[citado 2024 out. 15 ] Available from: https://doi.org/10.1088/1367-2630/aadf9f

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