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  • Artigo de periodico

    Finding contrasting patterns in rhythmic properties between prose and poetry (2022)

    Arruda, Henrique Ferraz de ; Reia, Sandro Martinelli ; Silva, Filipi Nascimento ; Amancio, Diego Raphael ; Costa, Luciano da Fontoura

    Source: Physica A. Unidades: ICMC, IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE TEXTO, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS

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    • ABNT

      ARRUDA, Henrique Ferraz de et al. Finding contrasting patterns in rhythmic properties between prose and poetry. Physica A, v. 598, p. 127387-1-127387-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2022.127387. Acesso em: 10 nov. 2024.

    • APA

      Arruda, H. F. de, Reia, S. M., Silva, F. N., Amancio, D. R., & Costa, L. da F. (2022). Finding contrasting patterns in rhythmic properties between prose and poetry. Physica A, 598, 127387-1-127387-13. doi:10.1016/j.physa.2022.127387

    • NLM

      Arruda HF de, Reia SM, Silva FN, Amancio DR, Costa L da F. Finding contrasting patterns in rhythmic properties between prose and poetry [Internet]. Physica A. 2022 ; 598 127387-1-127387-13.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.physa.2022.127387

    • Vancouver

      Arruda HF de, Reia SM, Silva FN, Amancio DR, Costa L da F. Finding contrasting patterns in rhythmic properties between prose and poetry [Internet]. Physica A. 2022 ; 598 127387-1-127387-13.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.physa.2022.127387

  • Artigo de periodico

    From subcritical behavior to a correlation-induced transition in rumor models (2022)

    Arruda, Guilherme Ferraz de ; Jeub, Lucas G. S ; Mata, Angélica Sousa da ; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    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: 10 nov. 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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.1038/s41467-022-30683-z

  • Artigo de periodico

    Impact of the distribution of recovery rates on disease spreading in complex networks (2020)

    Arruda, Guilherme Ferraz de ; Petri, Giovanni ; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    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: 10 nov. 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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013046

  • Artigo de periodico

    Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks (2020)

    Arruda, Guilherme Ferraz de ; Méndez-Bermúdez, J. A ; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    Source: Journal of Statistical Mechanics: Theory and Experiment. Unidade: ICMC

    Subjects: TEORIA ESPECTRAL, MODELAGEM DE EPIDEMIA, REDES COMPLEXAS

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    • ABNT

      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: 10 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.1088/1742-5468/abbcd4

  • Artigo de periodico

    Layer degradation triggers an abrupt structural transition in multiplex networks (2019)

    Cozzo, Emanuele ; Arruda, Guilherme Ferraz de ; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    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: 10 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.1103/PhysRevE.100.012313

  • Artigo de periodico

    Fundamentals of spreading processes in single and multilayer complex networks (2018)

    Arruda, Guilherme Ferraz de; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    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: 10 nov. 2024.

    • APA

      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

    • NLM

      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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.1016/j.physrep.2018.06.007

  • Artigo de periodico

    A polynomial eigenvalue approach for multiplex networks (2018)

    Arruda, Guilherme Ferraz de; Cozzo, Emanuele; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    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: 10 nov. 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 nov. 10 ] 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 nov. 10 ] Available from: https://doi.org/10.1088/1367-2630/aadf9f
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