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  • Source: Nonlinear Dynamics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      QIANG, Li et al. Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, v. 108, n. 4, p. 3529-3541, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11071-022-07383-w. Acesso em: 29 set. 2024.
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      Qiang, L., Peron, T., Stankovski, T., & Peng, J. (2022). Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, 108( 4), 3529-3541. doi:10.1007/s11071-022-07383-w
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      Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
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      Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
  • Source: Theoretical Computer Science. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMA DE POSICIONAMENTO GLOBAL

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      MINATEL, Diego e FERREIRA, Vinicius e LOPES, Alneu de Andrade. Local-entity resolution for building location-based social networks by using stay points. Theoretical Computer Science, v. 851, n. Ja 2021, p. 62-76, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.tcs.2020.10.013. Acesso em: 29 set. 2024.
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      Minatel, D., Ferreira, V., & Lopes, A. de A. (2021). Local-entity resolution for building location-based social networks by using stay points. Theoretical Computer Science, 851( Ja 2021), 62-76. doi:10.1016/j.tcs.2020.10.013
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      Minatel D, Ferreira V, Lopes A de A. Local-entity resolution for building location-based social networks by using stay points [Internet]. Theoretical Computer Science. 2021 ; 851( Ja 2021): 62-76.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.tcs.2020.10.013
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      Minatel D, Ferreira V, Lopes A de A. Local-entity resolution for building location-based social networks by using stay points [Internet]. Theoretical Computer Science. 2021 ; 851( Ja 2021): 62-76.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.tcs.2020.10.013
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      YE, Jiachen et al. Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, v. 97, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2021.105727. Acesso em: 29 set. 2024.
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      Ye, J., Peron, T., Lin, W., Kurths, J., & Ji, P. (2021). Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, 97, 1-10. doi:10.1016/j.cnsns.2021.105727
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      Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
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      Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
  • Source: Ergodic Theory and Dynamical Systems. Unidade: ICMC

    Subjects: MATEMÁTICA APLICADA, SINCRONIZAÇÃO, REDES COMPLEXAS

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      TANZI, Matteo e PEREIRA, Tiago e STRIEN, Sebastian Van. Robustness of ergodic properties of non-autonomous piecewise expanding maps. Ergodic Theory and Dynamical Systems, v. 39, n. 4, p. 1121-1152, 2019Tradução . . Disponível em: https://doi.org/10.1017/etds.2017.67. Acesso em: 29 set. 2024.
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      Tanzi, M., Pereira, T., & Strien, S. V. (2019). Robustness of ergodic properties of non-autonomous piecewise expanding maps. Ergodic Theory and Dynamical Systems, 39( 4), 1121-1152. doi:10.1017/etds.2017.67
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      Tanzi M, Pereira T, Strien SV. Robustness of ergodic properties of non-autonomous piecewise expanding maps [Internet]. Ergodic Theory and Dynamical Systems. 2019 ; 39( 4): 1121-1152.[citado 2024 set. 29 ] Available from: https://doi.org/10.1017/etds.2017.67
    • Vancouver

      Tanzi M, Pereira T, Strien SV. Robustness of ergodic properties of non-autonomous piecewise expanding maps [Internet]. Ergodic Theory and Dynamical Systems. 2019 ; 39( 4): 1121-1152.[citado 2024 set. 29 ] Available from: https://doi.org/10.1017/etds.2017.67
  • Source: Physics Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, PROCESSOS ESTOCÁSTICOS, FÍSICA COMPUTACIONAL, SURTOS DE DOENÇAS, MODELOS EPIDEMIOLOGICOS

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      ARRUDA, Guilherme Ferraz de e RODRIGUES, Francisco Aparecido e MORENO, Yamir. Fundamentals of spreading processes in single and multilayer complex networks. Physics Reports, v. 756, p. 1-59, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2018.06.007. Acesso em: 29 set. 2024.
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      Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2018). Fundamentals of spreading processes in single and multilayer complex networks. Physics Reports, 756, 1-59. doi:10.1016/j.physrep.2018.06.007
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      Arruda GF de, Rodrigues FA, Moreno Y. Fundamentals of spreading processes in single and multilayer complex networks [Internet]. Physics Reports. 2018 ; 756 1-59.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2018.06.007
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      Arruda GF de, Rodrigues FA, Moreno Y. Fundamentals of spreading processes in single and multilayer complex networks [Internet]. Physics Reports. 2018 ; 756 1-59.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2018.06.007
  • Source: Physica A. Unidade: ICMC

    Subjects: REDES COMPLEXAS, CRIME, REGRESSÃO

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      ALVES, Luiz G. A. e RIBEIRO, Haroldo V. e RODRIGUES, Francisco Aparecido. Crime prediction through urban metrics and statistical learning. Physica A, v. 505, p. 435-443, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2018.03.084. Acesso em: 29 set. 2024.
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      Alves, L. G. A., Ribeiro, H. V., & Rodrigues, F. A. (2018). Crime prediction through urban metrics and statistical learning. Physica A, 505, 435-443. doi:10.1016/j.physa.2018.03.084
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      Alves LGA, Ribeiro HV, Rodrigues FA. Crime prediction through urban metrics and statistical learning [Internet]. Physica A. 2018 ; 505 435-443.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physa.2018.03.084
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      Alves LGA, Ribeiro HV, Rodrigues FA. Crime prediction through urban metrics and statistical learning [Internet]. Physica A. 2018 ; 505 435-443.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physa.2018.03.084
  • Source: Discrete and Continuous Dynamical Systems : Series B. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ESTABILIDADE DE SISTEMAS

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      MAIA, Daniel N. M. et al. Synchronization in networks with strongly delayed couplings. Discrete and Continuous Dynamical Systems : Series B, v. 23, n. 8, p. 3461-3482, 2018Tradução . . Disponível em: https://doi.org/10.3934/dcdsb.2018234. Acesso em: 29 set. 2024.
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      Maia, D. N. M., Macau, E. E. N., Pereira, T., & Yanchuk, S. (2018). Synchronization in networks with strongly delayed couplings. Discrete and Continuous Dynamical Systems : Series B, 23( 8), 3461-3482. doi:10.3934/dcdsb.2018234
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      Maia DNM, Macau EEN, Pereira T, Yanchuk S. Synchronization in networks with strongly delayed couplings [Internet]. Discrete and Continuous Dynamical Systems : Series B. 2018 ; 23( 8): 3461-3482.[citado 2024 set. 29 ] Available from: https://doi.org/10.3934/dcdsb.2018234
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      Maia DNM, Macau EEN, Pereira T, Yanchuk S. Synchronization in networks with strongly delayed couplings [Internet]. Discrete and Continuous Dynamical Systems : Series B. 2018 ; 23( 8): 3461-3482.[citado 2024 set. 29 ] Available from: https://doi.org/10.3934/dcdsb.2018234
  • Source: Physica A. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, PROCESSAMENTO DE LINGUAGEM NATURAL, SEMÂNTICA DA PALAVRA

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      AKIMUSHKIN, Camilo e AMANCIO, Diego Raphael e OLIVEIRA JUNIOR, Osvaldo Novais de. On the role of words in the network structure of texts: application to authorship attribution. Physica A, v. 495, p. 49-58, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2017.12.054. Acesso em: 29 set. 2024.
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      Akimushkin, C., Amancio, D. R., & Oliveira Junior, O. N. de. (2018). On the role of words in the network structure of texts: application to authorship attribution. Physica A, 495, 49-58. doi:10.1016/j.physa.2017.12.054
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      Akimushkin C, Amancio DR, Oliveira Junior ON de. On the role of words in the network structure of texts: application to authorship attribution [Internet]. Physica A. 2018 ; 495 49-58.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physa.2017.12.054
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      Akimushkin C, Amancio DR, Oliveira Junior ON de. On the role of words in the network structure of texts: application to authorship attribution [Internet]. Physica A. 2018 ; 495 49-58.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physa.2017.12.054
  • Source: Entropy. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MÉTODOS TOPOLÓGICOS, COMÉRCIO INTERNACIONAL

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      ALVES, Luiz Gustavo de Andrade et al. Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks. Entropy, v. 20, n. 12, p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.3390/e20120909. Acesso em: 29 set. 2024.
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      Alves, L. G. de A., Mangioni, G., Rodrigues, F. A., Panzarasa, P., & Moreno, Y. (2018). Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks. Entropy, 20( 12), 1-14. doi:10.3390/e20120909
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      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks [Internet]. Entropy. 2018 ; 20( 12): 1-14.[citado 2024 set. 29 ] Available from: https://doi.org/10.3390/e20120909
    • Vancouver

      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks [Internet]. Entropy. 2018 ; 20( 12): 1-14.[citado 2024 set. 29 ] Available from: https://doi.org/10.3390/e20120909
  • Source: Chaos. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, DESCOBERTA DE CONHECIMENTO

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      LIMA, Thales S. et al. The dynamics of knowledge acquisition via self-learning in complex networks. Chaos, v. 28, n. 8, p. 083106-1-083106-10, 2018Tradução . . Disponível em: https://doi.org/10.1063/1.5027007. Acesso em: 29 set. 2024.
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      Lima, T. S., Arruda, H. F., Silva, F. N., Comin, C. H., Amancio, D. R., & Costa, L. da F. (2018). The dynamics of knowledge acquisition via self-learning in complex networks. Chaos, 28( 8), 083106-1-083106-10. doi:10.1063/1.5027007
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      Lima TS, Arruda HF, Silva FN, Comin CH, Amancio DR, Costa L da F. The dynamics of knowledge acquisition via self-learning in complex networks [Internet]. Chaos. 2018 ; 28( 8): 083106-1-083106-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1063/1.5027007
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      Lima TS, Arruda HF, Silva FN, Comin CH, Amancio DR, Costa L da F. The dynamics of knowledge acquisition via self-learning in complex networks [Internet]. Chaos. 2018 ; 28( 8): 083106-1-083106-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1063/1.5027007
  • Source: Journal of Physics A: Mathematical and Theoretical. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      MÉNDEZ-BERMÚDEZ, J. A et al. Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties. Journal of Physics A: Mathematical and Theoretical, v. No 2017, n. 49, p. 1-10 (495205), 2017Tradução . . Disponível em: https://doi.org/10.1088/1751-8121/aa9509. Acesso em: 29 set. 2024.
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      Méndez-Bermúdez, J. A., Arruda, G. F. de, Rodrigues, F. A., & Moreno, Y. (2017). Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties. Journal of Physics A: Mathematical and Theoretical, No 2017( 49), 1-10 (495205). doi:10.1088/1751-8121/aa9509
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      Méndez-Bermúdez JA, Arruda GF de, Rodrigues FA, Moreno Y. Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties [Internet]. Journal of Physics A: Mathematical and Theoretical. 2017 ; No 2017( 49): 1-10 (495205).[citado 2024 set. 29 ] Available from: https://doi.org/10.1088/1751-8121/aa9509
    • Vancouver

      Méndez-Bermúdez JA, Arruda GF de, Rodrigues FA, Moreno Y. Diluted banded random matrices: scaling behavior of eigenfunction and spectral properties [Internet]. Journal of Physics A: Mathematical and Theoretical. 2017 ; No 2017( 49): 1-10 (495205).[citado 2024 set. 29 ] Available from: https://doi.org/10.1088/1751-8121/aa9509
  • Source: Physics Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      RODRIGUES, Francisco Aparecido et al. The Kuramoto model in complex networks. Physics Reports, v. 610, n. Ja 2016, p. 1-98, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2015.10.008. Acesso em: 29 set. 2024.
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      Rodrigues, F. A., Peron, T., Ji, P., & Kurths, J. (2016). The Kuramoto model in complex networks. Physics Reports, 610( Ja 2016), 1-98. doi:10.1016/j.physrep.2015.10.008
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      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
    • Vancouver

      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
  • Source: Information Processing and Management. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES COMPLEXAS, ANÁLISE DE TEXTO

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      MAZIERO, Erick Galani e JORGE, Maria Lucia del Rosario Castro e PARDO, Thiago Alexandre Salgueiro. Revisiting cross-document structure theory for multi-document discourse parsing. Information Processing and Management, v. 50, n. 2, p. 297-314, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.ipm.2013.12.003. Acesso em: 29 set. 2024.
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      Maziero, E. G., Jorge, M. L. del R. C., & Pardo, T. A. S. (2014). Revisiting cross-document structure theory for multi-document discourse parsing. Information Processing and Management, 50( 2), 297-314. doi:10.1016/j.ipm.2013.12.003
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      Maziero EG, Jorge ML del RC, Pardo TAS. Revisiting cross-document structure theory for multi-document discourse parsing [Internet]. Information Processing and Management. 2014 ; 50( 2): 297-314.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.ipm.2013.12.003
    • Vancouver

      Maziero EG, Jorge ML del RC, Pardo TAS. Revisiting cross-document structure theory for multi-document discourse parsing [Internet]. Information Processing and Management. 2014 ; 50( 2): 297-314.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.ipm.2013.12.003
  • Source: Chaos. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MINERAÇÃO DE DADOS

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      QUILES, Marcos Gonçalves et al. Particle competition for complex network community detection. Chaos, v. 18, p. 033107-1-033107-10, 2008Tradução . . Disponível em: https://doi.org/10.1063/1.2956982. Acesso em: 29 set. 2024.
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      Quiles, M. G., Liang, Z., Alonso, R. L., & Romero, R. A. F. (2008). Particle competition for complex network community detection. Chaos, 18, 033107-1-033107-10. doi:10.1063/1.2956982
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      Quiles MG, Liang Z, Alonso RL, Romero RAF. Particle competition for complex network community detection [Internet]. Chaos. 2008 ; 18 033107-1-033107-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1063/1.2956982
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      Quiles MG, Liang Z, Alonso RL, Romero RAF. Particle competition for complex network community detection [Internet]. Chaos. 2008 ; 18 033107-1-033107-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1063/1.2956982

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