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Filtros : "Temporal networks" Limpar

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  • Artigo de periodico

    The earthquake network: the best time scale for network construction (2023)

    Lotfi, Nastaran

    Source: Acta Geophysica. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ANÁLISE DE SÉRIES TEMPORAIS, SISMOLOGIA

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    • ABNT

      LOTFI, Nastaran. The earthquake network: the best time scale for network construction. Acta Geophysica, v. 71, n. 6, p. 2565-2571, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11600-023-01134-0. Acesso em: 30 jan. 2026.

    • APA

      Lotfi, N. (2023). The earthquake network: the best time scale for network construction. Acta Geophysica, 71( 6), 2565-2571. doi:10.1007/s11600-023-01134-0

    • NLM

      Lotfi N. The earthquake network: the best time scale for network construction [Internet]. Acta Geophysica. 2023 ; 71( 6): 2565-2571.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1007/s11600-023-01134-0

    • Vancouver

      Lotfi N. The earthquake network: the best time scale for network construction [Internet]. Acta Geophysica. 2023 ; 71( 6): 2565-2571.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1007/s11600-023-01134-0

  • Artigo de periodico

    Epidemic spreading in populations of mobile agents with adaptive behavioral response (2022)

    Silva, Paulo Cesar Ventura da ; Aleta, Alberto ; Rodrigues, Francisco Aparecido ; Moreno, Yamir

    Source: Chaos, Solitons and Fractals. Unidades: ICMC, IFSC

    Subjects: SURTOS DE DOENÇAS, MOBILIDADE URBANA, COMPORTAMENTO

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    • ABNT

      SILVA, Paulo Cesar Ventura da et al. Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, v. 156, p. 111849-1-111849-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.111849. Acesso em: 30 jan. 2026.

    • APA

      Silva, P. C. V. da, Aleta, A., Rodrigues, F. A., & Moreno, Y. (2022). Epidemic spreading in populations of mobile agents with adaptive behavioral response. Chaos, Solitons and Fractals, 156, 111849-1-111849-10. doi:10.1016/j.chaos.2022.111849

    • NLM

      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849

    • Vancouver

      Silva PCV da, Aleta A, Rodrigues FA, Moreno Y. Epidemic spreading in populations of mobile agents with adaptive behavioral response [Internet]. Chaos, Solitons and Fractals. 2022 ; 156 111849-1-111849-10.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1016/j.chaos.2022.111849

  • Trabalho de evento-anais periodico

    Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network (2020)

    Colliri, Tiago Santos ; Delbem, Alexandre Cláudio Botazzo ; Liang, Zhao

    Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: ICMC, FFCLRP

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, COVID-19, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      COLLIRI, Tiago Santos e DELBEM, Alexandre Cláudio Botazzo e LIANG, Zhao. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_27. Acesso em: 30 jan. 2026. , 2020

    • APA

      Colliri, T. S., Delbem, A. C. B., & Liang, Z. (2020). Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_27

    • NLM

      Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27

    • Vancouver

      Colliri TS, Delbem ACB, Liang Z. Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 397-411.[citado 2026 jan. 30 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_27
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