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  • Source: Brazilian Journal of Physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, FINANÇAS, ANÁLISE DE RISCO

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      ALEXANDRE, Michel e RODRIGUES, Francisco Aparecido. Complex financial networks. Brazilian Journal of Physics, v. 55, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1007/s13538-024-01682-w. Acesso em: 08 out. 2025.
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      Alexandre, M., & Rodrigues, F. A. (2025). Complex financial networks. Brazilian Journal of Physics, 55, 1-8. doi:10.1007/s13538-024-01682-w
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      Alexandre M, Rodrigues FA. Complex financial networks [Internet]. Brazilian Journal of Physics. 2025 ; 55 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s13538-024-01682-w
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      Alexandre M, Rodrigues FA. Complex financial networks [Internet]. Brazilian Journal of Physics. 2025 ; 55 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s13538-024-01682-w
  • Source: PLoS One. Unidades: ICMC, EP

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL

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      AMANCIO, Diego Raphael e MACHICAO, Jeaneth e QUISPE, Laura Vanessa Cruz. Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis. PLoS One, v. 20, n. 7, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0327421. Acesso em: 08 out. 2025.
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      Amancio, D. R., Machicao, J., & Quispe, L. V. C. (2025). Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis. PLoS One, 20( 7), 1-17. doi:10.1371/journal.pone.0327421
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      Amancio DR, Machicao J, Quispe LVC. Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis [Internet]. PLoS One. 2025 ; 20( 7): 1-17.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0327421
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      Amancio DR, Machicao J, Quispe LVC. Leveraging word embeddings to enhance co-occurrence networks: a statistical analysis [Internet]. PLoS One. 2025 ; 20( 7): 1-17.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0327421
  • Source: Physical Review E. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS

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      LOBER, Luiza e PALMERO, Matheus e RODRIGUES, Francisco Aparecido. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, v. 112, p. 014210-1-014210-13, 2025Tradução . . Disponível em: https://doi.org/10.1103/wz7j-lzvs. Acesso em: 08 out. 2025.
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      Lober, L., Palmero, M., & Rodrigues, F. A. (2025). Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. Physical Review E, 112, 014210-1-014210-13. doi:10.1103/wz7j-lzvs
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      Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/wz7j-lzvs
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      Lober L, Palmero M, Rodrigues FA. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks [Internet]. Physical Review E. 2025 ; 112 014210-1-014210-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/wz7j-lzvs
  • Source: PLoS ONE. Unidade: ICMC

    Subjects: REDES COMPLEXAS, CONGRESSO NACIONAL, VOTAÇÃO

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      TOLEDO JUNIOR, Tiago José de Oliveira e AMANCIO, Diego Raphael e ROMERO, Roseli Aparecida Francelin. Complex networks applied to political analysis: group voting behavior in the brazilian congress. PLoS ONE, v. 20, n. 4, p. 1-30, 2025Tradução . . Disponível em: https://doi.org/10.1371/ journal.pone.0319643. Acesso em: 08 out. 2025.
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      Toledo Junior, T. J. de O., Amancio, D. R., & Romero, R. A. F. (2025). Complex networks applied to political analysis: group voting behavior in the brazilian congress. PLoS ONE, 20( 4), 1-30. doi:10.1371/ journal.pone.0319643
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      Toledo Junior TJ de O, Amancio DR, Romero RAF. Complex networks applied to political analysis: group voting behavior in the brazilian congress [Internet]. PLoS ONE. 2025 ; 20( 4): 1-30.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/ journal.pone.0319643
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      Toledo Junior TJ de O, Amancio DR, Romero RAF. Complex networks applied to political analysis: group voting behavior in the brazilian congress [Internet]. PLoS ONE. 2025 ; 20( 4): 1-30.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/ journal.pone.0319643
  • Source: IEEE Geoscience and Remote Sensing Letters. Unidade: ICMC

    Subjects: SENSORIAMENTO REMOTO, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, REDES COMPLEXAS

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      NESPOLO, Renan Guilherme e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, v. 22, p. 2505205-1-2505205-5, 2025Tradução . . Disponível em: https://doi.org/10.1109/LGRS.2025.3587590. Acesso em: 08 out. 2025.
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      Nespolo, R. G., Valejo, A. D. B., & Lopes, A. de A. (2025). Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, 22, 2505205-1-2505205-5. doi:10.1109/LGRS.2025.3587590
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      Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590
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      Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590
    GDS 11. Sustainable cities and communitiesGDS 15. Life on land
  • Source: IEEE Transactions on Network Science and Engineering. Unidades: FFCLRP, ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES COMPLEXAS

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      VALEJO, Alan Demetrius Baria et al. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, v. 11, n. 2, p. 1799-1809, 2024Tradução . . Disponível em: https://doi.org/10.1109/TNSE.2023.3331655. Acesso em: 08 out. 2025.
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      Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Rocha Filho, G. P., Yu-Tao, Z., Jianglong, Y., et al. (2024). Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, 11( 2), 1799-1809. doi:10.1109/TNSE.2023.3331655
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      Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
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      Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
  • Source: Physical Review E. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      PHAM, Tuan Minh e PERON, Thomas e METZ, Fernando L. Effects of clustering heterogeneity on the spectral density of sparse networks. Physical Review E, v. 110, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.110.054307. Acesso em: 08 out. 2025.
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      Pham, T. M., Peron, T., & Metz, F. L. (2024). Effects of clustering heterogeneity on the spectral density of sparse networks. Physical Review E, 110. doi:10.1103/PhysRevE.110.054307
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      Pham TM, Peron T, Metz FL. Effects of clustering heterogeneity on the spectral density of sparse networks [Internet]. Physical Review E. 2024 ; 110[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.054307
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      Pham TM, Peron T, Metz FL. Effects of clustering heterogeneity on the spectral density of sparse networks [Internet]. Physical Review E. 2024 ; 110[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.054307
  • Source: PLoS ONE. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PASSEIOS ALEATÓRIOS

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      VITAL JUNIOR, Adilson e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Comparing random walks in graph embedding and link prediction. PLoS ONE, v. 19, n. 11, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0312863. Acesso em: 08 out. 2025.
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      Vital Junior, A., Silva, F. N., & Amancio, D. R. (2024). Comparing random walks in graph embedding and link prediction. PLoS ONE, 19( 11), 1-22. doi:10.1371/journal.pone.0312863
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      Vital Junior A, Silva FN, Amancio DR. Comparing random walks in graph embedding and link prediction [Internet]. PLoS ONE. 2024 ; 19( 11): 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0312863
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      Vital Junior A, Silva FN, Amancio DR. Comparing random walks in graph embedding and link prediction [Internet]. PLoS ONE. 2024 ; 19( 11): 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0312863
  • Source: Physical Review E. Unidade: ICMC

    Subjects: PROCESSOS ESTOCÁSTICOS, REDES COMPLEXAS, SURTOS DE DOENÇAS

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      SILVA, Diogo Henrique da e RODRIGUES, Francisco Aparecido e FERREIRA, Silvio C. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks. Physical Review E, v. 110, n. 1, p. 014302-1-014302-9, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.110.014302. Acesso em: 08 out. 2025.
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      Silva, D. H. da, Rodrigues, F. A., & Ferreira, S. C. (2024). Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks. Physical Review E, 110( 1), 014302-1-014302-9. doi:10.1103/PhysRevE.110.014302
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      Silva DH da, Rodrigues FA, Ferreira SC. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks [Internet]. Physical Review E. 2024 ; 110( 1): 014302-1-014302-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.014302
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      Silva DH da, Rodrigues FA, Ferreira SC. Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks [Internet]. Physical Review E. 2024 ; 110( 1): 014302-1-014302-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevE.110.014302
  • Source: Physica A : statistical mechanics and its applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, COMÉRCIO INTERNACIONAL

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      SILVA, Thiago Christiano e WILHELM, Paulo Victor Berri e AMANCIO, Diego Raphael. Machine learning and economic forecasting: the role of international trade networks. Physica A : statistical mechanics and its applications, v. 649, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129977. Acesso em: 08 out. 2025.
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      Silva, T. C., Wilhelm, P. V. B., & Amancio, D. R. (2024). Machine learning and economic forecasting: the role of international trade networks. Physica A : statistical mechanics and its applications, 649, 1-22. doi:10.1016/j.physa.2024.129977
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      Silva TC, Wilhelm PVB, Amancio DR. Machine learning and economic forecasting: the role of international trade networks [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 649 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129977
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      Silva TC, Wilhelm PVB, Amancio DR. Machine learning and economic forecasting: the role of international trade networks [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 649 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129977
  • 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: 08 out. 2025.
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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 2025 out. 08 ] Available from: https://doi.org/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 2025 out. 08 ] Available from: https://doi.org/10.1088/2632-072X/ad4dfc
  • Source: Scientometrics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL

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      TOHALINO, Jorge Andoni Valverde e SILVA, Thiago Christiano e AMANCIO, Diego Raphael. Using word embedding to detect keywords in texts modeled as complex networks. Scientometrics, v. 129, n. 7, p. 3599-3623, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11192-024-05055-7. Acesso em: 08 out. 2025.
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      Tohalino, J. A. V., Silva, T. C., & Amancio, D. R. (2024). Using word embedding to detect keywords in texts modeled as complex networks. Scientometrics, 129( 7), 3599-3623. doi:10.1007/s11192-024-05055-7
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      Tohalino JAV, Silva TC, Amancio DR. Using word embedding to detect keywords in texts modeled as complex networks [Internet]. Scientometrics. 2024 ; 129( 7): 3599-3623.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s11192-024-05055-7
    • Vancouver

      Tohalino JAV, Silva TC, Amancio DR. Using word embedding to detect keywords in texts modeled as complex networks [Internet]. Scientometrics. 2024 ; 129( 7): 3599-3623.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s11192-024-05055-7
  • Source: Proceedings of the Royal Society A. Unidade: ICMC

    Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS

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      RODRIGUES, Francisco Aparecido et al. A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A, v. 481, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1098/rspa.2024.0435. Acesso em: 08 out. 2025.
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      Rodrigues, F. A., Peron, T., Connaughton, C., Kurths, J., & Moreno, Y. (2024). A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A, 481, 1-12. doi:10.1098/rspa.2024.0435
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      Rodrigues FA, Peron T, Connaughton C, Kurths J, Moreno Y. A machine learning approach to predicting dynamical observables from network structure [Internet]. Proceedings of the Royal Society A. 2024 ; 481 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1098/rspa.2024.0435
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      Rodrigues FA, Peron T, Connaughton C, Kurths J, Moreno Y. A machine learning approach to predicting dynamical observables from network structure [Internet]. Proceedings of the Royal Society A. 2024 ; 481 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1098/rspa.2024.0435
  • Source: Journal of Complex Networks. Unidade: ICMC

    Subjects: REDES COMPLEXAS, FUTEBOL, ANÁLISE ESTATÍSTICA DE DADOS, APRENDIZADO COMPUTACIONAL

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      BARATELA, Eduardo Alves et al. Predicting soccer matches with complex networks and machine learning. Journal of Complex Networks, v. 12, n. 6, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnae043. Acesso em: 08 out. 2025.
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      Baratela, E. A., Xavier, F. J., Peron, T., Villas Boas, P. R., & Rodrigues, F. A. (2024). Predicting soccer matches with complex networks and machine learning. Journal of Complex Networks, 12( 6), 1-16. doi:10.1093/comnet/cnae043
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      Baratela EA, Xavier FJ, Peron T, Villas Boas PR, Rodrigues FA. Predicting soccer matches with complex networks and machine learning [Internet]. Journal of Complex Networks. 2024 ; 12( 6): 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnae043
    • Vancouver

      Baratela EA, Xavier FJ, Peron T, Villas Boas PR, Rodrigues FA. Predicting soccer matches with complex networks and machine learning [Internet]. Journal of Complex Networks. 2024 ; 12( 6): 1-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnae043
  • Source: Diabetology & Metabolic Syndrome. Unidades: ICMC, FM

    Subjects: REDES COMPLEXAS, RESISTÊNCIA À INSULINA, ADOLESCENTES

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      ALVES-COSTA, Silas et al. High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents. Diabetology & Metabolic Syndrome, v. 16, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1186/s13098-024-01469-8. Acesso em: 08 out. 2025.
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      Alves-Costa, S., Souza, B. F. de, Rodrigues, F. A., Ferraro, A. A., Nascimento, G. G., Leite, F. R. M., et al. (2024). High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents. Diabetology & Metabolic Syndrome, 16, 1-13. doi:10.1186/s13098-024-01469-8
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      Alves-Costa S, Souza BF de, Rodrigues FA, Ferraro AA, Nascimento GG, Leite FRM, Ladeira LLC, Batista RFL, Thomaz EBAF, Alves CMC, Ribeiro CCC. High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents [Internet]. Diabetology & Metabolic Syndrome. 2024 ; 16 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1186/s13098-024-01469-8
    • Vancouver

      Alves-Costa S, Souza BF de, Rodrigues FA, Ferraro AA, Nascimento GG, Leite FRM, Ladeira LLC, Batista RFL, Thomaz EBAF, Alves CMC, Ribeiro CCC. High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents [Internet]. Diabetology & Metabolic Syndrome. 2024 ; 16 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1186/s13098-024-01469-8
  • Source: PLoS ONE. Unidade: ICMC

    Assunto: REDES COMPLEXAS

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      GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Identifying the perceived local properties of networks reconstructed from biased random walks. PLoS ONE, v. 19, n. 1, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0296088. Acesso em: 08 out. 2025.
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      Guerreiro, L., Silva, F. N., & Amancio, D. R. (2024). Identifying the perceived local properties of networks reconstructed from biased random walks. PLoS ONE, 19( 1), 1-18. doi:10.1371/journal.pone.0296088
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      Guerreiro L, Silva FN, Amancio DR. Identifying the perceived local properties of networks reconstructed from biased random walks [Internet]. PLoS ONE. 2024 ; 19( 1): 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0296088
    • Vancouver

      Guerreiro L, Silva FN, Amancio DR. Identifying the perceived local properties of networks reconstructed from biased random walks [Internet]. PLoS ONE. 2024 ; 19( 1): 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0296088
  • Source: Physica A : statistical mechanics and its applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, HEURÍSTICA

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      GUERREIRO, Lucas e SILVA, Filipi Nascimento e AMANCIO, Diego Raphael. Recovering network topology and dynamics from sequences: a machine learning approach. Physica A : statistical mechanics and its applications, v. 638, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129618. Acesso em: 08 out. 2025.
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      Guerreiro, L., Silva, F. N., & Amancio, D. R. (2024). Recovering network topology and dynamics from sequences: a machine learning approach. Physica A : statistical mechanics and its applications, 638, 1-13. doi:10.1016/j.physa.2024.129618
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      Guerreiro L, Silva FN, Amancio DR. Recovering network topology and dynamics from sequences: a machine learning approach [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 638 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129618
    • Vancouver

      Guerreiro L, Silva FN, Amancio DR. Recovering network topology and dynamics from sequences: a machine learning approach [Internet]. Physica A : statistical mechanics and its applications. 2024 ; 638 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129618
  • Source: Physics of Life Reviews. Unidade: ICMC

    Subjects: REDES COMPLEXAS, CÉREBRO

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      PERON, Thomas. The networkness of the brain [Carta]: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú. Physics of Life Reviews. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.plrev.2023.12.006. Acesso em: 08 out. 2025. , 2024
    • APA

      Peron, T. (2024). The networkness of the brain [Carta]: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú. Physics of Life Reviews. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.plrev.2024.03.005
    • NLM

      Peron T. The networkness of the brain [Carta]: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú [Internet]. Physics of Life Reviews. 2024 ; 49 71-73.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006
    • Vancouver

      Peron T. The networkness of the brain [Carta]: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú [Internet]. Physics of Life Reviews. 2024 ; 49 71-73.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: VISUALIZAÇÃO, REDES COMPLEXAS

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      LINHARES, Claudio Douglas Gouveia et al. LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 203-213, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209477. Acesso em: 08 out. 2025.
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      Linhares, C. D. G., Ponciano, J. R., Pedro, D. S., Rocha, L. E. C. da, Traina, A. J. M., & Poco, J. (2023). LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 203-213. doi:10.1109/TVCG.2022.3209477
    • NLM

      Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
    • Vancouver

      Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
  • 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: 08 out. 2025.
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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
    • NLM

      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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1209/0295-5075/acba42

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