Filtros : "RODRIGUES, FRANCISCO APARECIDO" "TEORIA DOS GRAFOS" Limpar

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  • Source: Journal of Physics: Complexity. Unidades: ICMC, IFSC

    Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, TOPOLOGIA EM COMPUTAÇÃO, REDES NEURAIS, TEORIA DOS GRAFOS, CÓRTEX CEREBRAL (ANÁLISE), CÉREBRO (ANÁLISE;ESTUDO)

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      ALVES, Caroline Lourenço et al. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments. Journal of Physics: Complexity, v. 5, n. Ja 2024, p. 015002-1-015002-23, 2024Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad1c68. Acesso em: 08 out. 2024.
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      Alves, C. L., Ciba, M., Toutain, T. G. L. de, Porto, J. A. M., Sena, E. P. de, Thielemann, C., & Rodrigues, F. (2024). On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments. Journal of Physics: Complexity, 5( Ja 2024), 015002-1-015002-23. doi:10.1088/2632-072X/ad1c68
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      Alves CL, Ciba M, Toutain TGL de, Porto JAM, Sena EP de, Thielemann C, Rodrigues F. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments [Internet]. Journal of Physics: Complexity. 2024 ; 5( Ja 2024): 015002-1-015002-23.[citado 2024 out. 08 ] Available from: https://doi.org/10.1088/2632-072X/ad1c68
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      Alves CL, Ciba M, Toutain TGL de, Porto JAM, Sena EP de, Thielemann C, Rodrigues F. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments [Internet]. Journal of Physics: Complexity. 2024 ; 5( Ja 2024): 015002-1-015002-23.[citado 2024 out. 08 ] Available from: https://doi.org/10.1088/2632-072X/ad1c68
  • Source: Physical Review E. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MUDANÇA DE FASE, TEORIA DOS GRAFOS, GRAFOS ALEATÓRIOS

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      VEGA-OLIVEROS, Didier A. e MÉNDEZ-BERMÚDEZ, J. A e RODRIGUES, Francisco Aparecido. Multifractality in random networks with power-law decaying bond strengths. Physical Review E, v. 99, n. 4, p. 042303-1-042303-7, 2019Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.99.042303. Acesso em: 08 out. 2024.
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      Vega-Oliveros, D. A., Méndez-Bermúdez, J. A., & Rodrigues, F. A. (2019). Multifractality in random networks with power-law decaying bond strengths. Physical Review E, 99( 4), 042303-1-042303-7. doi:10.1103/PhysRevE.99.042303
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      Vega-Oliveros DA, Méndez-Bermúdez JA, Rodrigues FA. Multifractality in random networks with power-law decaying bond strengths [Internet]. Physical Review E. 2019 ; 99( 4): 042303-1-042303-7.[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.99.042303
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      Vega-Oliveros DA, Méndez-Bermúdez JA, Rodrigues FA. Multifractality in random networks with power-law decaying bond strengths [Internet]. Physical Review E. 2019 ; 99( 4): 042303-1-042303-7.[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.99.042303
  • Source: Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. Conference titles: Congresso Nacional de Matemática Aplicada e Computacional - CNMAC. Unidade: ICMC

    Subjects: GRAFOS ALEATÓRIOS, TEORIA DOS GRAFOS, MÉTODOS PROBABILÍSTICOS

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      SARTORETTO, Eduardo Zorzo e RODRIGUEZ, Pablo Martin e RODRIGUES, Francisco Aparecido. Simulações para um modelo de grafo aleatório não Homogêneo. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. São Carlos, SP: SBMAC. Disponível em: https://proceedings.sbmac.org.br/sbmac/article/view/2516. Acesso em: 08 out. 2024. , 2018
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      Sartoretto, E. Z., Rodriguez, P. M., & Rodrigues, F. A. (2018). Simulações para um modelo de grafo aleatório não Homogêneo. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. São Carlos, SP: SBMAC. Recuperado de https://proceedings.sbmac.org.br/sbmac/article/view/2516
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      Sartoretto EZ, Rodriguez PM, Rodrigues FA. Simulações para um modelo de grafo aleatório não Homogêneo [Internet]. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2018 ; 6( 2): 010209-1-010209-2.[citado 2024 out. 08 ] Available from: https://proceedings.sbmac.org.br/sbmac/article/view/2516
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      Sartoretto EZ, Rodriguez PM, Rodrigues FA. Simulações para um modelo de grafo aleatório não Homogêneo [Internet]. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2018 ; 6( 2): 010209-1-010209-2.[citado 2024 out. 08 ] Available from: https://proceedings.sbmac.org.br/sbmac/article/view/2516
  • Source: Europhysics Letters - EPL. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      PERON, Thomas et al. Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, v. 121, n. 6, p. 57006-p1-57006-p6, 2018Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/121/68001. Acesso em: 08 out. 2024.
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      Peron, T., Ji, P., Kurths, J., & Rodrigues, F. A. (2018). Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, 121( 6), 57006-p1-57006-p6. doi:10.1209/0295-5075/121/68001
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      Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 out. 08 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
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      Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 out. 08 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
  • 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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnx024
  • Source: Proceedings. Conference titles: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      VEGA-OLIVEROS, Didier A. et al. The impact of social curiosity on information spreading on networks. 2017, Anais.. New York, NY: ACM, 2017. Disponível em: https://doi.org/10.1145/3110025.3110039. Acesso em: 08 out. 2024.
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      Vega-Oliveros, D. A., Berton, L., Vazquez, F., & Rodrigues, F. A. (2017). The impact of social curiosity on information spreading on networks. In Proceedings. New York, NY: ACM. doi:10.1145/3110025.3110039
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      Vega-Oliveros DA, Berton L, Vazquez F, Rodrigues FA. The impact of social curiosity on information spreading on networks [Internet]. Proceedings. 2017 ;[citado 2024 out. 08 ] Available from: https://doi.org/10.1145/3110025.3110039
    • Vancouver

      Vega-Oliveros DA, Berton L, Vazquez F, Rodrigues FA. The impact of social curiosity on information spreading on networks [Internet]. Proceedings. 2017 ;[citado 2024 out. 08 ] Available from: https://doi.org/10.1145/3110025.3110039
  • Source: Journal of Physics A: Mathematical and Theoretical. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      MÉNDEZ-BERMÚDEZ, J. A et al. Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties. Journal of Physics A: Mathematical and Theoretical, v. No 2017, n. 49, p. 1-10 (495205), 2017Tradução . . Disponível em: https://doi.org/10.1088/1751-8121/aa9509. Acesso em: 08 out. 2024.
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      Méndez-Bermúdez, J. A., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2017). Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties. Journal of Physics A: Mathematical and Theoretical, No 2017( 49), 1-10 (495205). doi:10.1088/1751-8121/aa9509
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      Méndez-Bermúdez JA, Arruda GF de, Rodrigues FA, Moreno Y. Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties [Internet]. Journal of Physics A: Mathematical and Theoretical. 2017 ; No 2017( 49): 1-10 (495205).[citado 2024 out. 08 ] Available from: https://doi.org/10.1088/1751-8121/aa9509
    • Vancouver

      Méndez-Bermúdez JA, Arruda GF de, Rodrigues FA, Moreno Y. Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties [Internet]. Journal of Physics A: Mathematical and Theoretical. 2017 ; No 2017( 49): 1-10 (495205).[citado 2024 out. 08 ] Available from: https://doi.org/10.1088/1751-8121/aa9509
  • 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: 08 out. 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 out. 08 ] Available from: https://doi.org/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 out. 08 ] Available from: https://doi.org/10.1103/PhysRevX.7.011014
  • Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      MÉNDEZ-BERMÚDEZ, J. A et al. Scaling properties of multilayer random networks. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 96, n. 1, 2017Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.96.012307. Acesso em: 08 out. 2024.
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      Méndez-Bermúdez, J. A., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2017). Scaling properties of multilayer random networks. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 96( 1). doi:10.1103/PhysRevE.96.012307
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      Méndez-Bermúdez JA, Arruda GF de, Rodrigues FA, Moreno Y. Scaling properties of multilayer random networks [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2017 ; 96( 1):[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.96.012307
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      Méndez-Bermúdez JA, Arruda GF de, Rodrigues FA, Moreno Y. Scaling properties of multilayer random networks [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2017 ; 96( 1):[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.96.012307
  • Source: Physics Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      RODRIGUES, Francisco Aparecido et al. The Kuramoto model in complex networks. Physics Reports, v. 610, n. Ja 2016, p. 1-98, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2015.10.008. Acesso em: 08 out. 2024.
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      Rodrigues, F. A., Peron, T., Ji, P., & Kurths, J. (2016). The Kuramoto model in complex networks. Physics Reports, 610( Ja 2016), 1-98. doi:10.1016/j.physrep.2015.10.008
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      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
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      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
  • Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      SCHULTZ, Paul et al. Tweaking synchronization by connectivity modifications. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 93, n. Ju 2016, 2016Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.93.062211. Acesso em: 08 out. 2024.
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      Schultz, P., Peron, T., Eroglu, D., Stemler, T., Ávila, G. M. R., Rodrigues, F. A., & Kurths, J. (2016). Tweaking synchronization by connectivity modifications. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 93( Ju 2016). doi:10.1103/PhysRevE.93.062211
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      Schultz P, Peron T, Eroglu D, Stemler T, Ávila GMR, Rodrigues FA, Kurths J. Tweaking synchronization by connectivity modifications [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 93( Ju 2016):[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.93.062211
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      Schultz P, Peron T, Eroglu D, Stemler T, Ávila GMR, Rodrigues FA, Kurths J. Tweaking synchronization by connectivity modifications [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 93( Ju 2016):[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.93.062211
  • Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      PERON, Thomas et al. Traveling phase waves in asymmetric networks of noisy chaotic attractors. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 94, n. 4, 2016Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.94.042210. Acesso em: 08 out. 2024.
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      Peron, T., Kurths, J., Rodrigues, F. A., Schimansky-Geier, L., & Sonnenschein, B. (2016). Traveling phase waves in asymmetric networks of noisy chaotic attractors. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 94( 4). doi:10.1103/PhysRevE.94.042210
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      Peron T, Kurths J, Rodrigues FA, Schimansky-Geier L, Sonnenschein B. Traveling phase waves in asymmetric networks of noisy chaotic attractors [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 94( 4):[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.94.042210
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      Peron T, Kurths J, Rodrigues FA, Schimansky-Geier L, Sonnenschein B. Traveling phase waves in asymmetric networks of noisy chaotic attractors [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 94( 4):[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.94.042210
  • Source: Theory in Biosciences. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      FONTANARI, José Fernando e RODRIGUES, Francisco Aparecido. Influence of network topology on cooperative problem-solving systems. Theory in Biosciences, v. 135, n. 3, p. 101-110, 2016Tradução . . Disponível em: https://doi.org/10.1007/s12064-015-0219-1. Acesso em: 08 out. 2024.
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      Fontanari, J. F., & Rodrigues, F. A. (2016). Influence of network topology on cooperative problem-solving systems. Theory in Biosciences, 135( 3), 101-110. doi:10.1007/s12064-015-0219-1
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      Fontanari JF, Rodrigues FA. Influence of network topology on cooperative problem-solving systems [Internet]. Theory in Biosciences. 2016 ; 135( 3): 101-110.[citado 2024 out. 08 ] Available from: https://doi.org/10.1007/s12064-015-0219-1
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      Fontanari JF, Rodrigues FA. Influence of network topology on cooperative problem-solving systems [Internet]. Theory in Biosciences. 2016 ; 135( 3): 101-110.[citado 2024 out. 08 ] Available from: https://doi.org/10.1007/s12064-015-0219-1
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      CORRÊA, Débora C e RODRIGUES, Francisco Aparecido. A survey on symbolic data-based music genre classification. Expert Systems with Applications, v. 60, p. 190-210, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.04.008. Acesso em: 08 out. 2024.
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      Corrêa, D. C., & Rodrigues, F. A. (2016). A survey on symbolic data-based music genre classification. Expert Systems with Applications, 60, 190-210. doi:10.1016/j.eswa.2016.04.008
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      Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
    • Vancouver

      Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
  • Source: Information Sciences. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE, SIMETRIA, MEDIDAS

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      SILVA, Filipi N et al. Concentric network symmetry. Information Sciences, v. 333, p. 61-80, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2015.11.014. Acesso em: 08 out. 2024.
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      Silva, F. N., Comin, C. H., Peron, T., Rodrigues, F. A., Ye, C., Wilson, R. C., et al. (2016). Concentric network symmetry. Information Sciences, 333, 61-80. doi:10.1016/j.ins.2015.11.014
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      Silva FN, Comin CH, Peron T, Rodrigues FA, Ye C, Wilson RC, Hancock ER, Costa L da F. Concentric network symmetry [Internet]. Information Sciences. 2016 ; 333 61-80.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.ins.2015.11.014
    • Vancouver

      Silva FN, Comin CH, Peron T, Rodrigues FA, Ye C, Wilson RC, Hancock ER, Costa L da F. Concentric network symmetry [Internet]. Information Sciences. 2016 ; 333 61-80.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.ins.2015.11.014
  • 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: 08 out. 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 out. 08 ] Available from: https://doi.org/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 out. 08 ] 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: 08 out. 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 out. 08 ] Available from: https://doi.org/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 out. 08 ] Available from: https://doi.org/10.1007/978-3-319-23947-7_2
  • Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      SONNENSCHEIN, Bernard et al. Collective dynamics in two populations of noisy oscillators with asymmetric interactions. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 91, n. Ju 2015, p. 062910-1-062910-7, 2015Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.91.062910. Acesso em: 08 out. 2024.
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      Sonnenschein, B., Peron, T., Rodrigues, F. A., Kurths, J., & Schimansky-Geier, L. (2015). Collective dynamics in two populations of noisy oscillators with asymmetric interactions. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 91( Ju 2015), 062910-1-062910-7. doi:10.1103/PhysRevE.91.062910
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      Sonnenschein B, Peron T, Rodrigues FA, Kurths J, Schimansky-Geier L. Collective dynamics in two populations of noisy oscillators with asymmetric interactions [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2015 ; 91( Ju 2015): 062910-1-062910-7.[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.91.062910
    • Vancouver

      Sonnenschein B, Peron T, Rodrigues FA, Kurths J, Schimansky-Geier L. Collective dynamics in two populations of noisy oscillators with asymmetric interactions [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2015 ; 91( Ju 2015): 062910-1-062910-7.[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.91.062910
  • Source: Physical Review E. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      PERON, Thomas et al. Effects of assortative mixing in the second-order Kuramoto model. Physical Review E, v. 91, n. 5, p. 052805-1-052805-6, 2015Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.91.052805. Acesso em: 08 out. 2024.
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      Peron, T., Ji, P., Rodrigues, F. A., & Kurths, J. (2015). Effects of assortative mixing in the second-order Kuramoto model. Physical Review E, 91( 5), 052805-1-052805-6. doi:10.1103/PhysRevE.91.052805
    • NLM

      Peron T, Ji P, Rodrigues FA, Kurths J. Effects of assortative mixing in the second-order Kuramoto model [Internet]. Physical Review E. 2015 ; 91( 5): 052805-1-052805-6.[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.91.052805
    • Vancouver

      Peron T, Ji P, Rodrigues FA, Kurths J. Effects of assortative mixing in the second-order Kuramoto model [Internet]. Physical Review E. 2015 ; 91( 5): 052805-1-052805-6.[citado 2024 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.91.052805
  • Source: Physics of Life Reviews. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      RODRIGUES, Francisco Aparecido. The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. Physics of Life Reviews, v. 15, p. 37-38, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2015.10.010. Acesso em: 08 out. 2024.
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      Rodrigues, F. A. (2015). The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. Physics of Life Reviews, 15, 37-38. doi:10.1016/j.plrev.2015.10.010
    • NLM

      Rodrigues FA. The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. [Internet]. Physics of Life Reviews. 2015 ; 15 37-38.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.plrev.2015.10.010
    • Vancouver

      Rodrigues FA. The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. [Internet]. Physics of Life Reviews. 2015 ; 15 37-38.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.plrev.2015.10.010

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