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  • Source: Chaos, Solitons and Fractals. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, FÍSICA COMPUTACIONAL, REDES COMPLEXAS

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      BENATTI, Alexandre e COSTA, Luciano da Fontoura. On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, v. 183, p. 114904-1-114904-7, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114904. Acesso em: 25 jun. 2024.
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      Benatti, A., & Costa, L. da F. (2024). On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, 183, 114904-1-114904-7. doi:10.1016/j.chaos.2024.114904
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      Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
    • Vancouver

      Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
  • Source: Knowledge and Information Systems. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES COMPLEXAS, MERCADO FINANCEIRO

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      CASTILHO, Douglas et al. Forecasting financial market structure from network features using machine learning. Knowledge and Information Systems, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10115-024-02095-6. Acesso em: 25 jun. 2024.
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      Castilho, D., Souza, T. T. P., Kang, S. M., Gama, J., & Carvalho, A. C. P. de L. F. de. (2024). Forecasting financial market structure from network features using machine learning. Knowledge and Information Systems. doi:10.1007/s10115-024-02095-6
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      Castilho D, Souza TTP, Kang SM, Gama J, Carvalho ACP de LF de. Forecasting financial market structure from network features using machine learning [Internet]. Knowledge and Information Systems. 2024 ;[citado 2024 jun. 25 ] Available from: https://doi.org/10.1007/s10115-024-02095-6
    • Vancouver

      Castilho D, Souza TTP, Kang SM, Gama J, Carvalho ACP de LF de. Forecasting financial market structure from network features using machine learning [Internet]. Knowledge and Information Systems. 2024 ;[citado 2024 jun. 25 ] Available from: https://doi.org/10.1007/s10115-024-02095-6
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, COMÉRCIO INTERNACIONAL

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      SILVA, Thiago Christiano e WILHELM, Paulo Victor Berri e AMANCIO, Diego Raphael. Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments. Journal of Physics : Complexity, v. 5, p. 1-19, 2024Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad4dfc. Acesso em: 25 jun. 2024.
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      Silva, T. C., Wilhelm, P. V. B., & Amancio, D. R. (2024). Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments. Journal of Physics : Complexity, 5, 1-19. doi:10.1088/2632-072X/ad4dfc
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      Silva TC, Wilhelm PVB, Amancio DR. Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments [Internet]. Journal of Physics : Complexity. 2024 ; 5 1-19.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ad4dfc
    • Vancouver

      Silva TC, Wilhelm PVB, Amancio DR. Interconnectivity disrupted by fading globalization: a network approach to recent international trade developments [Internet]. Journal of Physics : Complexity. 2024 ; 5 1-19.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ad4dfc
  • Source: Europhysics Letters. Unidades: ICMC, FEA

    Subjects: REDES COMPLEXAS, SISTEMA FINANCEIRO, DETERMINANTES

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      ALEXANDRE, Michel et al. The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, v. 141, n. 4, p. 42001-p1-42001-p7, 2023Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/acba42. Acesso em: 25 jun. 2024.
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      Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2023). The determinants of the individual nestedness contribution in financial systems. Europhysics Letters, 141( 4), 42001-p1-42001-p7. doi:10.1209/0295-5075/acba42
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      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1209/0295-5075/acba42
    • Vancouver

      Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. The determinants of the individual nestedness contribution in financial systems [Internet]. Europhysics Letters. 2023 ; 141( 4): 42001-p1-42001-p7.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1209/0295-5075/acba42
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ELEIÇÕES (PROCESSO POLÍTICO), POLARIZAÇÃO

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      INTERIAN, Ruben e RODRIGUES, Francisco Aparecido. Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections. Journal of Physics : Complexity, v. 4, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/acf6a4. Acesso em: 25 jun. 2024.
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      Interian, R., & Rodrigues, F. A. (2023). Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections. Journal of Physics : Complexity, 4, 1-13. doi:10.1088/2632-072X/acf6a4
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      Interian R, Rodrigues FA. Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-13.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/acf6a4
    • Vancouver

      Interian R, Rodrigues FA. Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-13.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/acf6a4
  • Source: Journal of Physics : Complexity. Unidades: ICMC, IFSC, IME

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL

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      BENATTI, Alexandre et al. Quantifying the hierarchical adherence of modular documents. Journal of Physics : Complexity, v. 4, n. 4, p. 045008-01-045008-18, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad0a9b. Acesso em: 25 jun. 2024.
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      Benatti, A., Brito, A. C. M., Amancio, D. R., & Costa, L. da F. (2023). Quantifying the hierarchical adherence of modular documents. Journal of Physics : Complexity, 4( 4), 045008-01-045008-18. doi:10.1088/2632-072X/ad0a9b
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      Benatti A, Brito ACM, Amancio DR, Costa L da F. Quantifying the hierarchical adherence of modular documents [Internet]. Journal of Physics : Complexity. 2023 ; 4( 4): 045008-01-045008-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b
    • Vancouver

      Benatti A, Brito ACM, Amancio DR, Costa L da F. Quantifying the hierarchical adherence of modular documents [Internet]. Journal of Physics : Complexity. 2023 ; 4( 4): 045008-01-045008-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b
  • Source: Journal of Complex Networks. Unidades: ICMC, IFSC

    Subjects: TECNOLOGIAS DA SAÚDE, APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, DOENÇAS VASCULARES

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      PINEDA, Aruane Mello et al. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning. Journal of Complex Networks, v. 11, n. 5, p. cnad030-1-cnad030-21, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad030. Acesso em: 25 jun. 2024.
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      Pineda, A. M., Rodrigues, F. A., Alves, C. L., Möckel, M., Oliveira, T. G. L. de, & Porto, J. A. M. (2023). Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning. Journal of Complex Networks, 11( 5), cnad030-1-cnad030-21. doi:10.1093/comnet/cnad030
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      Pineda AM, Rodrigues FA, Alves CL, Möckel M, Oliveira TGL de, Porto JAM. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning [Internet]. Journal of Complex Networks. 2023 ; 11( 5): cnad030-1-cnad030-21.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1093/comnet/cnad030
    • Vancouver

      Pineda AM, Rodrigues FA, Alves CL, Möckel M, Oliveira TGL de, Porto JAM. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning [Internet]. Journal of Complex Networks. 2023 ; 11( 5): cnad030-1-cnad030-21.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1093/comnet/cnad030
  • Source: Journal of Neural Engineering. Unidades: ICMC, IFSC

    Subjects: TECNOLOGIAS DA SAÚDE, APRENDIZADO COMPUTACIONAL, ESQUIZOFRENIA, REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, CÉREBRO

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      ALVES, Caroline Lourenço et al. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, v. 20, n. 5, p. 056025-1-056025-28, 2023Tradução . . Disponível em: https://doi.org/10.1088/1741-2552/acf734. Acesso em: 25 jun. 2024.
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      Alves, C. L., Oliveira, T. G. L. de, Porto, J. A. M., Aguiar, P. M. de C., Sena, E. P. de, Rodrigues, F. A., et al. (2023). Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. Journal of Neural Engineering, 20( 5), 056025-1-056025-28. doi:10.1088/1741-2552/acf734
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      Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/1741-2552/acf734
    • Vancouver

      Alves CL, Oliveira TGL de, Porto JAM, Aguiar PM de C, Sena EP de, Rodrigues FA, Pineda AM, Thielemann C. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia [Internet]. Journal of Neural Engineering. 2023 ; 20( 5): 056025-1-056025-28.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/1741-2552/acf734
  • Source: The International Forestry Review. Unidade: EACH

    Subjects: CAMPONESES, DISTRIBUIÇÃO DE RENDA, AGRICULTURA, DESMATAMENTO, COMUNIDADE INDÍGENA, SISTEMAS DINÂMICOS, REDES COMPLEXAS

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      CUNHA, Priscila dos Reis e RODRIGUES NETO, Camilo e MORSELLO, Carla. The effects on deforestation of conditional cash transfers: a study among the Khı˜sêtjê Amazonian indigenous people. The International Forestry Review, p. 330-344, 2022Tradução . . Disponível em: https://www.ingentaconnect.com/contentone/cfa/ifr/2022/00000024/00000003/art00005?crawler=true&mimetype=application/pdf. Acesso em: 25 jun. 2024.
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      Cunha, P. dos R., Rodrigues Neto, C., & Morsello, C. (2022). The effects on deforestation of conditional cash transfers: a study among the Khı˜sêtjê Amazonian indigenous people. The International Forestry Review, 330-344. Recuperado de https://www.ingentaconnect.com/contentone/cfa/ifr/2022/00000024/00000003/art00005?crawler=true&mimetype=application/pdf
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      Cunha P dos R, Rodrigues Neto C, Morsello C. The effects on deforestation of conditional cash transfers: a study among the Khı˜sêtjê Amazonian indigenous people [Internet]. The International Forestry Review. 2022 ; 330-344.[citado 2024 jun. 25 ] Available from: https://www.ingentaconnect.com/contentone/cfa/ifr/2022/00000024/00000003/art00005?crawler=true&mimetype=application/pdf
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      Cunha P dos R, Rodrigues Neto C, Morsello C. The effects on deforestation of conditional cash transfers: a study among the Khı˜sêtjê Amazonian indigenous people [Internet]. The International Forestry Review. 2022 ; 330-344.[citado 2024 jun. 25 ] Available from: https://www.ingentaconnect.com/contentone/cfa/ifr/2022/00000024/00000003/art00005?crawler=true&mimetype=application/pdf
  • Source: Journal of Physics: Complexity. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL

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      COSTA, Luciano da Fontoura. Autorrelation and cross-relation of graphs and networks. Journal of Physics: Complexity, v. 3, n. 4, p. 045009-1-045009-16, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/aca57c. Acesso em: 25 jun. 2024.
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      Costa, L. da F. (2022). Autorrelation and cross-relation of graphs and networks. Journal of Physics: Complexity, 3( 4), 045009-1-045009-16. doi:10.1088/2632-072X/aca57c
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      Costa L da F. Autorrelation and cross-relation of graphs and networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045009-1-045009-16.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/aca57c
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      Costa L da F. Autorrelation and cross-relation of graphs and networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 4): 045009-1-045009-16.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/aca57c
  • Source: Biomedical Signal Processing and Control. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, OSTEOARTRITE DO JOELHO

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      RIBAS, Lucas Correia et al. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, v. 222, n. Ja 2022, p. 103133-1-103133-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.103133. Acesso em: 25 jun. 2024.
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      Ribas, L. C., Riad, R., Jennane, R., & Bruno, O. M. (2022). A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, 222( Ja 2022), 103133-1-103133-10. doi:10.1016/j.bspc.2021.103133
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      Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
    • Vancouver

      Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
  • Source: Journal of Neural Engineering. Unidade: ICMC

    Subjects: HIPOCAMPO, REDE NERVOSA, EXCITAÇÃO (FISIOLOGIA), INIBIÇÃO, REDES COMPLEXAS

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      BOUILLET, Thomas et al. Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures. Journal of Neural Engineering, v. 19, n. 6, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1088/1741-2552/aca261. Acesso em: 25 jun. 2024.
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      Bouillet, T., Ciba, M., Alves, C. L., Rodrigues, F. A., Thielemann, C., Colin, M., et al. (2022). Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures. Journal of Neural Engineering, 19( 6), 1-20. doi:10.1088/1741-2552/aca261
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      Bouillet T, Ciba M, Alves CL, Rodrigues FA, Thielemann C, Colin M, Buée L, Halliez S. Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures [Internet]. Journal of Neural Engineering. 2022 ; 19( 6): 1-20.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/1741-2552/aca261
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      Bouillet T, Ciba M, Alves CL, Rodrigues FA, Thielemann C, Colin M, Buée L, Halliez S. Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures [Internet]. Journal of Neural Engineering. 2022 ; 19( 6): 1-20.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/1741-2552/aca261
  • 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: 25 jun. 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 jun. 25 ] 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 jun. 25 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
  • Source: Journal of Physics: Complexity. Unidade: IFSC

    Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL

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      COSTA, Luciano da Fontoura. Coincidence complex networks. Journal of Physics: Complexity, v. 3, n. 1, p. 015012-1-015012-18, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac54c3. Acesso em: 25 jun. 2024.
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      Costa, L. da F. (2022). Coincidence complex networks. Journal of Physics: Complexity, 3( 1), 015012-1-015012-18. doi:10.1088/2632-072X/ac54c3
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      Costa L da F. Coincidence complex networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 1): 015012-1-015012-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ac54c3
    • Vancouver

      Costa L da F. Coincidence complex networks [Internet]. Journal of Physics: Complexity. 2022 ; 3( 1): 015012-1-015012-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ac54c3
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      METZ, Fernando L e PERON, Thomas. Mean-field theory of vector spin models on networks with arbitrary degree distributions. Journal of Physics : Complexity, v. 3, n. 1, p. 1-24, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac4bed. Acesso em: 25 jun. 2024.
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      Metz, F. L., & Peron, T. (2022). Mean-field theory of vector spin models on networks with arbitrary degree distributions. Journal of Physics : Complexity, 3( 1), 1-24. doi:10.1088/2632-072X/ac4bed
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      Metz FL, Peron T. Mean-field theory of vector spin models on networks with arbitrary degree distributions [Internet]. Journal of Physics : Complexity. 2022 ; 3( 1): 1-24.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ac4bed
    • Vancouver

      Metz FL, Peron T. Mean-field theory of vector spin models on networks with arbitrary degree distributions [Internet]. Journal of Physics : Complexity. 2022 ; 3( 1): 1-24.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ac4bed
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ECONOMETRIA, CADEIA DE SUPRIMENTOS, OPERAÇÕES BANCÁRIAS

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      SILVA, Thiago Christiano e AMANCIO, Diego Raphael e TABAK, Benjamin Miranda. Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, v. 190, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116162. Acesso em: 25 jun. 2024.
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      Silva, T. C., Amancio, D. R., & Tabak, B. M. (2022). Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, 190, 1-13. doi:10.1016/j.eswa.2021.116162
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      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
    • Vancouver

      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA)

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      STEGEHUIS, Clara e PERON, Thomas. Network processes on clique-networks with high average degree: the limited effect of higher-order structure. Journal of Physics : Complexity, v. 2, n. 4, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac35b7. Acesso em: 25 jun. 2024.
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      Stegehuis, C., & Peron, T. (2021). Network processes on clique-networks with high average degree: the limited effect of higher-order structure. Journal of Physics : Complexity, 2( 4), 1-17. doi:10.1088/2632-072X/ac35b7
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      Stegehuis C, Peron T. Network processes on clique-networks with high average degree: the limited effect of higher-order structure [Internet]. Journal of Physics : Complexity. 2021 ; 2( 4): 1-17.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ac35b7
    • Vancouver

      Stegehuis C, Peron T. Network processes on clique-networks with high average degree: the limited effect of higher-order structure [Internet]. Journal of Physics : Complexity. 2021 ; 2( 4): 1-17.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/2632-072X/ac35b7
  • Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MATRIZES

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      MARTÍNEZ-MARTÍNEZ, C. T et al. Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, v. 153, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111504. Acesso em: 25 jun. 2024.
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      Martínez-Martínez, C. T., Méndez-Bermúdez, J. A., Peron, T., & Moreno, Y. (2021). Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, 153, 1-11. doi:10.1016/j.chaos.2021.111504
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      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504
    • Vancouver

      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504
  • Source: Physical Chemistry Chemical Physics. Unidade: IF

    Subjects: FÍSICA MOLECULAR, FÍSICO-QUÍMICA, EQUAÇÕES ALGÉBRICAS DIFERENCIAIS, REDES COMPLEXAS

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      ANDERSEN, Cecilie Lindholm et al. Prediction of the standard potentials for one-electron oxidation of N,N,N′,N′ tetrasubstituted p-phenylenediamines by calculation. Physical Chemistry Chemical Physics, v. 23, n. 36, p. 20340-20351, 2021Tradução . . Disponível em: https://doi.org/10.1039/D1CP02315B. Acesso em: 25 jun. 2024.
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      Andersen, C. L., Lacerda Jr., E. G., Christensen, J. B., Hammerich, O., & Sauer, S. P. A. (2021). Prediction of the standard potentials for one-electron oxidation of N,N,N′,N′ tetrasubstituted p-phenylenediamines by calculation. Physical Chemistry Chemical Physics, 23( 36), 20340-20351. doi:10.1039/D1CP02315B
    • NLM

      Andersen CL, Lacerda Jr. EG, Christensen JB, Hammerich O, Sauer SPA. Prediction of the standard potentials for one-electron oxidation of N,N,N′,N′ tetrasubstituted p-phenylenediamines by calculation [Internet]. Physical Chemistry Chemical Physics. 2021 ; 23( 36): 20340-20351.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1039/D1CP02315B
    • Vancouver

      Andersen CL, Lacerda Jr. EG, Christensen JB, Hammerich O, Sauer SPA. Prediction of the standard potentials for one-electron oxidation of N,N,N′,N′ tetrasubstituted p-phenylenediamines by calculation [Internet]. Physical Chemistry Chemical Physics. 2021 ; 23( 36): 20340-20351.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1039/D1CP02315B
  • Source: Journal of Statistical Mechanics: Theory and Experiment. Unidade: EACH

    Subjects: EPIDEMIOLOGIA, REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      DIAS, C e HASE, Masayuki Oka. Weakening connections in heterogeneous mean-field models. Journal of Statistical Mechanics: Theory and Experiment, v. 2021, n. ja 2021, p. 01-18, 2021Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/abd4ca. Acesso em: 25 jun. 2024.
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      Dias, C., & Hase, M. O. (2021). Weakening connections in heterogeneous mean-field models. Journal of Statistical Mechanics: Theory and Experiment, 2021( ja 2021), 01-18. doi:10.1088/1742-5468/abd4ca
    • NLM

      Dias C, Hase MO. Weakening connections in heterogeneous mean-field models [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2021 ; 2021( ja 2021): 01-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/1742-5468/abd4ca
    • Vancouver

      Dias C, Hase MO. Weakening connections in heterogeneous mean-field models [Internet]. Journal of Statistical Mechanics: Theory and Experiment. 2021 ; 2021( ja 2021): 01-18.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1088/1742-5468/abd4ca

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