Filtros : "REDES COMPLEXAS" "Indexado no DOAJ" Removido: "UFSC" Limpar

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  • Source: Journal of Physics : Complexity. Unidade: ICMC

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

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      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: 06 out. 2024.
    • APA

      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
    • NLM

      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 out. 06 ] 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 out. 06 ] 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

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      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: 06 out. 2024.
    • APA

      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
    • NLM

      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 out. 06 ] 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 out. 06 ] Available from: https://doi.org/10.1088/2632-072X/ad0a9b
  • Source: Frontiers in Research Metrics and Analytics. Unidades: ICMC, FFCLRP

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, VISUALIZAÇÃO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      VALEJO, Alan Demetrius Baria et al. Multilevel coarsening for interactive visualization of large bipartite networks. Frontiers in Research Metrics and Analytics, v. 7, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.3389/frma.2022.855165. Acesso em: 06 out. 2024.
    • APA

      Valejo, A. D. B., Fabbri, R., Lopes, A. de A., Liang, Z., & Oliveira, M. C. F. de. (2022). Multilevel coarsening for interactive visualization of large bipartite networks. Frontiers in Research Metrics and Analytics, 7, 1-18. doi:10.3389/frma.2022.855165
    • NLM

      Valejo ADB, Fabbri R, Lopes A de A, Liang Z, Oliveira MCF de. Multilevel coarsening for interactive visualization of large bipartite networks [Internet]. Frontiers in Research Metrics and Analytics. 2022 ; 7 1-18.[citado 2024 out. 06 ] Available from: https://doi.org/10.3389/frma.2022.855165
    • Vancouver

      Valejo ADB, Fabbri R, Lopes A de A, Liang Z, Oliveira MCF de. Multilevel coarsening for interactive visualization of large bipartite networks [Internet]. Frontiers in Research Metrics and Analytics. 2022 ; 7 1-18.[citado 2024 out. 06 ] Available from: https://doi.org/10.3389/frma.2022.855165

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