Filtros : "Itália" "Moreno, Yamir" Limpar

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  • Source: Epidemics. Unidades: ICMC, IFSC

    Subjects: MOBILIDADE URBANA, MODELAGEM DE EPIDEMIA, COMPORTAMENTO, REDES COMPLEXAS, SURTOS DE DOENÇAS, SAÚDE PÚBLICA

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      SILVA, Paulo Cesar Ventura da et al. Modeling the effects of social distancing on the large-scale spreading of diseases. Epidemics, v. 38, p. 100544-1-100544-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.epidem.2022.100544. Acesso em: 26 set. 2024.
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      Silva, P. C. V. da, Aleta, A., Rodrigues, F. A., & Moreno, Y. (2022). Modeling the effects of social distancing on the large-scale spreading of diseases. Epidemics, 38, 100544-1-100544-13. doi:10.1016/j.epidem.2022.100544
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      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Modeling the effects of social distancing on the large-scale spreading of diseases [Internet]. Epidemics. 2022 ; 38 100544-1-100544-13.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.epidem.2022.100544
    • Vancouver

      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Modeling the effects of social distancing on the large-scale spreading of diseases [Internet]. Epidemics. 2022 ; 38 100544-1-100544-13.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.epidem.2022.100544
  • Source: Information Sciences. Unidade: IFSC

    Subjects: REDES COMPLEXAS, GEOMETRIA E MODELAGEM COMPUTACIONAL

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      ARRUDA, Henrique Ferraz de et al. Modelling how social network algorithms can influence opinion polarization. Information Sciences, v. 588, p. 265-278 , 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.12.069. Acesso em: 26 set. 2024.
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      Arruda, H. F. de, Cardoso, F. M., Arruda, G. F. de, Hernández, A. R., Costa, L. da F., & Moreno, Y. (2022). Modelling how social network algorithms can influence opinion polarization. Information Sciences, 588, 265-278 . doi:10.1016/j.ins.2021.12.069
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      Arruda HF de, Cardoso FM, Arruda GF de, Hernández AR, Costa L da F, Moreno Y. Modelling how social network algorithms can influence opinion polarization [Internet]. Information Sciences. 2022 ; 588 265-278 .[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2021.12.069
    • Vancouver

      Arruda HF de, Cardoso FM, Arruda GF de, Hernández AR, Costa L da F, Moreno Y. Modelling how social network algorithms can influence opinion polarization [Internet]. Information Sciences. 2022 ; 588 265-278 .[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.ins.2021.12.069
  • Source: Chaos, Solitons and Fractals. Unidades: ICMC, IFSC

    Subjects: SURTOS DE DOENÇAS, MOBILIDADE URBANA, COMPORTAMENTO

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      SILVA, Paulo Cesar Ventura da et al. Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, v. 156, p. 111849-1-111849-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.111849. Acesso em: 26 set. 2024.
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      Silva, P. C. V. da, Aleta, A., Rodrigues, F. A., & Moreno, Y. (2022). Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, 156, 111849-1-111849-10. doi:10.1016/j.chaos.2022.111849
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      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849
    • Vancouver

      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: ECONOMIA INTERNACIONAL, COMÉRCIO, REDES COMPLEXAS

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      ALVES, Luiz Gustavo de Andrade et al. The rise and fall of countries in the global value chains. Scientific Reports, v. 12, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-12067-x. Acesso em: 26 set. 2024.
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      Alves, L. G. de A., Mangioni, G., Rodrigues, F. A., Panzarasa, P., & Moreno, Y. (2022). The rise and fall of countries in the global value chains. Scientific Reports, 12, 1-14. doi:10.1038/s41598-022-12067-x
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      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. The rise and fall of countries in the global value chains [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
    • Vancouver

      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. The rise and fall of countries in the global value chains [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
  • Source: Nature Communications. Unidade: ICMC

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

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      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: 26 set. 2024.
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      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
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      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 set. 26 ] 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 set. 26 ] Available from: https://doi.org/10.1038/s41467-022-30683-z
  • Source: Physical Review Research. Unidade: ICMC

    Subjects: SURTOS DE DOENÇAS, HETEROGENEIDADE, REDES COMPLEXAS

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      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: 26 set. 2024.
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      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
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      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 set. 26 ] 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 set. 26 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013046
  • Source: Journal of Statistical Mechanics: Theory and Experiment. Unidade: ICMC

    Subjects: TEORIA ESPECTRAL, MODELAGEM DE EPIDEMIA, REDES COMPLEXAS

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      ARRUDA, Guilherme Ferraz de et al. Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. Journal of Statistical Mechanics: Theory and Experiment, v. 2020, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/abbcd4. Acesso em: 26 set. 2024.
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      Arruda, G. F. de, Méndez-Bermúdez, J. A., Rodrigues, F. A., & Moreno, Y. (2020). Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. Journal of Statistical Mechanics: Theory and Experiment, 2020, 1-10. doi:10.1088/1742-5468/abbcd4
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      Arruda GF de, Méndez-Bermúdez JA, Rodrigues FA, Moreno Y. Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2020 ; 2020 1-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1088/1742-5468/abbcd4
    • Vancouver

      Arruda GF de, Méndez-Bermúdez JA, Rodrigues FA, Moreno Y. Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2020 ; 2020 1-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1088/1742-5468/abbcd4
  • Source: Physical Review E. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PROCESSOS ESTOCÁSTICOS, FÍSICA COMPUTACIONAL

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      COZZO, Emanuele et al. Layer degradation triggers an abrupt structural transition in multiplex networks. Physical Review E, v. 100, p. 02313-1-02313-7, 2019Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.100.012313. Acesso em: 26 set. 2024.
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      Cozzo, E., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2019). Layer degradation triggers an abrupt structural transition in multiplex networks. Physical Review E, 100, 02313-1-02313-7. doi:10.1103/PhysRevE.100.012313
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      Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Layer degradation triggers an abrupt structural transition in multiplex networks [Internet]. Physical Review E. 2019 ; 100 02313-1-02313-7.[citado 2024 set. 26 ] Available from: https://doi.org/10.1103/PhysRevE.100.012313
    • Vancouver

      Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Layer degradation triggers an abrupt structural transition in multiplex networks [Internet]. Physical Review E. 2019 ; 100 02313-1-02313-7.[citado 2024 set. 26 ] Available from: https://doi.org/10.1103/PhysRevE.100.012313
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PROCESSOS ESTOCÁSTICOS, FÍSICA COMPUTACIONAL, COMÉRCIO INTERNACIONAL

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      ALVES, Luiz G. A. et al. The nested structural organization of the worldwide trade multi-layer network. Scientific Reports, v. 9, p. 2866-1-2866-14, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-39340-w. Acesso em: 26 set. 2024.
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      Alves, L. G. A., Mangioni, G., Cingolani, I., Rodrigues, F. A., Panzarasa, P., & Moreno, Y. (2019). The nested structural organization of the worldwide trade multi-layer network. Scientific Reports, 9, 2866-1-2866-14. doi:10.1038/s41598-019-39340-w
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      Alves LGA, Mangioni G, Cingolani I, Rodrigues FA, Panzarasa P, Moreno Y. The nested structural organization of the worldwide trade multi-layer network [Internet]. Scientific Reports. 2019 ; 9 2866-1-2866-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.1038/s41598-019-39340-w
    • Vancouver

      Alves LGA, Mangioni G, Cingolani I, Rodrigues FA, Panzarasa P, Moreno Y. The nested structural organization of the worldwide trade multi-layer network [Internet]. Scientific Reports. 2019 ; 9 2866-1-2866-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.1038/s41598-019-39340-w
  • Source: Physics Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PROCESSOS ESTOCÁSTICOS, FÍSICA COMPUTACIONAL, SURTOS DE DOENÇAS, MODELOS EPIDEMIOLOGICOS

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      ARRUDA, Guilherme Ferraz de e RODRIGUES, Francisco Aparecido e MORENO, Yamir. Fundamentals of spreading processes in single and multilayer complex networks. Physics Reports, v. 756, p. 1-59, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2018.06.007. Acesso em: 26 set. 2024.
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      Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2018). Fundamentals of spreading processes in single and multilayer complex networks. Physics Reports, 756, 1-59. doi:10.1016/j.physrep.2018.06.007
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      Arruda GF de, Rodrigues FA, Moreno Y. Fundamentals of spreading processes in single and multilayer complex networks [Internet]. Physics Reports. 2018 ; 756 1-59.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.physrep.2018.06.007
    • Vancouver

      Arruda GF de, Rodrigues FA, Moreno Y. Fundamentals of spreading processes in single and multilayer complex networks [Internet]. Physics Reports. 2018 ; 756 1-59.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.physrep.2018.06.007
  • Unidade: ICMC

    Subjects: REDES COMPLEXAS, ESPECTROSCOPIA

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      COZZO, Emanuele et al. Multiplex networks: basic formalism and structural properties. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-92255-3. Acesso em: 26 set. 2024. , 2018
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      Cozzo, E., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2018). Multiplex networks: basic formalism and structural properties. Cham: Springer. doi:10.1007/978-3-319-92255-3
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      Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Multiplex networks: basic formalism and structural properties [Internet]. 2018 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-92255-3
    • Vancouver

      Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Multiplex networks: basic formalism and structural properties [Internet]. 2018 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-92255-3
  • Source: Journal of Complex Networks. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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      ARRUDA, Guilherme Ferraz de et al. A general Markov chain approach for disease and rumour spreading in complex networks. Journal of Complex Networks, v. 6, n. 2, p. 215-242, 2018Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnx024. Acesso em: 26 set. 2024.
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      Arruda, G. F. de, Rodrigues, F. A., Rodriguez, P. M., Cozzo, E., & Moreno, Y. (2018). A general Markov chain approach for disease and rumour spreading in complex networks. Journal of Complex Networks, 6( 2), 215-242. doi:10.1093/comnet/cnx024
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      Arruda GF de, Rodrigues FA, Rodriguez PM, Cozzo E, Moreno Y. A general Markov chain approach for disease and rumour spreading in complex networks [Internet]. Journal of Complex Networks. 2018 ; 6( 2): 215-242.[citado 2024 set. 26 ] Available from: https://doi.org/10.1093/comnet/cnx024
    • Vancouver

      Arruda GF de, Rodrigues FA, Rodriguez PM, Cozzo E, Moreno Y. A general Markov chain approach for disease and rumour spreading in complex networks [Internet]. Journal of Complex Networks. 2018 ; 6( 2): 215-242.[citado 2024 set. 26 ] Available from: https://doi.org/10.1093/comnet/cnx024
  • Source: Entropy. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MÉTODOS TOPOLÓGICOS, COMÉRCIO INTERNACIONAL

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      ALVES, Luiz Gustavo de Andrade et al. Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks. Entropy, v. 20, n. 12, p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.3390/e20120909. Acesso em: 26 set. 2024.
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      Alves, L. G. de A., Mangioni, G., Rodrigues, F. A., Panzarasa, P., & Moreno, Y. (2018). Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks. Entropy, 20( 12), 1-14. doi:10.3390/e20120909
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      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks [Internet]. Entropy. 2018 ; 20( 12): 1-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.3390/e20120909
    • Vancouver

      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks [Internet]. Entropy. 2018 ; 20( 12): 1-14.[citado 2024 set. 26 ] Available from: https://doi.org/10.3390/e20120909
  • Source: New Journal of Physics. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      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: 26 set. 2024.
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      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
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      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 set. 26 ] 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 set. 26 ] Available from: https://doi.org/10.1088/1367-2630/aadf9f
  • Source: Physical Review X. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      ARRUDA, Guilherme Ferraz de et al. Disease localization in multilayer networks. Physical Review X, v. 7, n. Ja–Mar. 2017, p. 011014-1-011014-25, 2017Tradução . . Disponível em: https://doi.org/10.1103/PhysRevX.7.011014. Acesso em: 26 set. 2024.
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      Arruda, G. F. de, Cozzo, E., Peixoto, T. P., Rodrigues, F. A., & Moreno, Y. (2017). Disease localization in multilayer networks. Physical Review X, 7( Ja–Mar. 2017), 011014-1-011014-25. doi:10.1103/PhysRevX.7.011014
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      Arruda GF de, Cozzo E, Peixoto TP, Rodrigues FA, Moreno Y. Disease localization in multilayer networks [Internet]. Physical Review X. 2017 ; 7( Ja–Mar. 2017): 011014-1-011014-25.[citado 2024 set. 26 ] Available from: https://doi.org/10.1103/PhysRevX.7.011014
    • Vancouver

      Arruda GF de, Cozzo E, Peixoto TP, Rodrigues FA, Moreno Y. Disease localization in multilayer networks [Internet]. Physical Review X. 2017 ; 7( Ja–Mar. 2017): 011014-1-011014-25.[citado 2024 set. 26 ] Available from: https://doi.org/10.1103/PhysRevX.7.011014
  • Source: Physica D: Nonlinear Phenomena. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      ARRUDA, Guilherme Ferraz de et al. On degree–degree correlations in multilayer networks. Physica D: Nonlinear Phenomena, v. 323-324, n. Ju 2016, p. 5-11, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physd.2015.11.004. Acesso em: 26 set. 2024.
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      Arruda, G. F. de, Cozzo, E., Moreno, Y., & Rodrigues, F. A. (2016). On degree–degree correlations in multilayer networks. Physica D: Nonlinear Phenomena, 323-324( Ju 2016), 5-11. doi:10.1016/j.physd.2015.11.004
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      Arruda GF de, Cozzo E, Moreno Y, Rodrigues FA. On degree–degree correlations in multilayer networks [Internet]. Physica D: Nonlinear Phenomena. 2016 ; 323-324( Ju 2016): 5-11.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.physd.2015.11.004
    • Vancouver

      Arruda GF de, Cozzo E, Moreno Y, Rodrigues FA. On degree–degree correlations in multilayer networks [Internet]. Physica D: Nonlinear Phenomena. 2016 ; 323-324( Ju 2016): 5-11.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.physd.2015.11.004
  • Source: Interconnected networks. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, COMPLEXIDADE

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      COZZO, Emanuele et al. Multilayer networks: metrics and spectral properties. Interconnected networks. Tradução . Cham: Springer, 2016. . Disponível em: https://doi.org/10.1007/978-3-319-23947-7_2. Acesso em: 26 set. 2024.
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      Cozzo, E., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2016). Multilayer networks: metrics and spectral properties. In Interconnected networks. Cham: Springer. doi:10.1007/978-3-319-23947-7_2
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      Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Multilayer networks: metrics and spectral properties [Internet]. In: Interconnected networks. Cham: Springer; 2016. [citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-23947-7_2
    • Vancouver

      Cozzo E, Arruda GF de, Rodrigues FA, Moreno Y. Multilayer networks: metrics and spectral properties [Internet]. In: Interconnected networks. Cham: Springer; 2016. [citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-3-319-23947-7_2

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