Filtros : "2020" "Financiado pela DFG" "FFCLRP" Removidos: "QUÍMICA" "Barreto, Rafael Ferreira" "Australian Journal of Crop Science" "ICMC-USP" Limpar

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  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidades: IFSC, ICMC, FFCLRP

    Subjects: REDES COMPLEXAS, ESPALHAMENTO, BOATO, DIFUSÃO DA INFORMAÇÃO

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      VEGA-OLIVEROS, Didier Augusto e COSTA, Luciano da Fontoura e RODRIGUES, Francisco Aparecido. Influence maximization by rumor spreading on correlated networks through community identification. Communications in Nonlinear Science and Numerical Simulation, v. 83, p. 105094-1-105094-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2019.105094. Acesso em: 17 nov. 2024.
    • APA

      Vega-Oliveros, D. A., Costa, L. da F., & Rodrigues, F. A. (2020). Influence maximization by rumor spreading on correlated networks through community identification. Communications in Nonlinear Science and Numerical Simulation, 83, 105094-1-105094-13. doi:10.1016/j.cnsns.2019.105094
    • NLM

      Vega-Oliveros DA, Costa L da F, Rodrigues FA. Influence maximization by rumor spreading on correlated networks through community identification [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2020 ; 83 105094-1-105094-13.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.cnsns.2019.105094
    • Vancouver

      Vega-Oliveros DA, Costa L da F, Rodrigues FA. Influence maximization by rumor spreading on correlated networks through community identification [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2020 ; 83 105094-1-105094-13.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.cnsns.2019.105094
  • Source: Scientific Reports. Unidades: FFCLRP, ICMC

    Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GAO, Xubo et al. Temporal network pattern identification by community modelling. Scientific Reports, v. 10, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-57123-1. Acesso em: 17 nov. 2024.
    • APA

      Gao, X., Zheng, Q., Vega-Oliveros, D. A., Anghinoni, L., & Liang, Z. (2020). Temporal network pattern identification by community modelling. Scientific Reports, 10, 1-12. doi:10.1038/s41598-019-57123-1
    • NLM

      Gao X, Zheng Q, Vega-Oliveros DA, Anghinoni L, Liang Z. Temporal network pattern identification by community modelling [Internet]. Scientific Reports. 2020 ; 10 1-12.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1038/s41598-019-57123-1
    • Vancouver

      Gao X, Zheng Q, Vega-Oliveros DA, Anghinoni L, Liang Z. Temporal network pattern identification by community modelling [Internet]. Scientific Reports. 2020 ; 10 1-12.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1038/s41598-019-57123-1

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