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Artigo de periodico
Vertex-wise graph’s spectral density decomposition and its applications (2025)
Guzman, Grover Enrique Castro ; Takahashi, Daniel Yasumasa ; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: GRAFOS ALEATÓRIOS, ÁLGEBRA LINEAR NUMÉRICA, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e TAKAHASHI, Daniel Yasumasa e FUJITA, André. Vertex-wise graph’s spectral density decomposition and its applications. Journal of Complex Networks, v. 13, n. 4, p. 1-18, 2025Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnaf013. Acesso em: 16 nov. 2025.
APA
Guzman, G. E. C., Takahashi, D. Y., & Fujita, A. (2025). Vertex-wise graph’s spectral density decomposition and its applications. Journal of Complex Networks, 13( 4), 1-18. doi:10.1093/comnet/cnaf013
NLM
Guzman GEC, Takahashi DY, Fujita A. Vertex-wise graph’s spectral density decomposition and its applications [Internet]. Journal of Complex Networks. 2025 ; 13( 4): 1-18.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnaf013
Vancouver
Guzman GEC, Takahashi DY, Fujita A. Vertex-wise graph’s spectral density decomposition and its applications [Internet]. Journal of Complex Networks. 2025 ; 13( 4): 1-18.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnaf013
Artigo de periodico
Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test (2025)
Guzman, Grover Enrique Castro ; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: SELEÇÃO DE MODELOS, ESPECTROS, OPERADORES, TEORIA DOS GRAFOS, GRAFOS ALEATÓRIOS, INFERÊNCIA PARAMÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e FUJITA, André. Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test. Journal of Complex Networks, v. 13, n. 4, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnaf019. Acesso em: 16 nov. 2025.
APA
Guzman, G. E. C., & Fujita, A. (2025). Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test. Journal of Complex Networks, 13( 4), 1-16. doi:10.1093/comnet/cnaf019
NLM
Guzman GEC, Fujita A. Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test [Internet]. Journal of Complex Networks. 2025 ; 13( 4): 1-16.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnaf019
Vancouver
Guzman GEC, Fujita A. Statistical methods for hypergraphs: a parameter estimator, a model selection, and a comparative test [Internet]. Journal of Complex Networks. 2025 ; 13( 4): 1-16.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnaf019
Artigo de periodico
A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity (2023)
Guzman, Grover Enrique Castro ; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: GRAFOS ALEATÓRIOS, TEORIA ESPECTRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e FUJITA, André. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, v. 11, n. 2, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad005. Acesso em: 16 nov. 2025.
APA
Guzman, G. E. C., & Fujita, A. (2023). A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, 11( 2), 1-15. doi:10.1093/comnet/cnad005
NLM
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnad005
Vancouver
Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnad005
Artigo de periodico
A fast parameter estimator for large complex networks (2022)
Guzman, Grover Enrique Castro ; Takahashi, Daniel Yasumasa; Fujita, André
Source: Journal of Complex Networks. Unidade: IME
Subjects: COMBINATÓRIA, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUZMAN, Grover Enrique Castro e TAKAHASHI, Daniel Yasumasa e FUJITA, André. A fast parameter estimator for large complex networks. Journal of Complex Networks, v. 10, n. artigo cnac022. p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnac022. Acesso em: 16 nov. 2025.
APA
Guzman, G. E. C., Takahashi, D. Y., & Fujita, A. (2022). A fast parameter estimator for large complex networks. Journal of Complex Networks, 10( artigo cnac022. p. 1-11). doi:10.1093/comnet/cnac022
NLM
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnac022
Vancouver
Guzman GEC, Takahashi DY, Fujita A. A fast parameter estimator for large complex networks [Internet]. Journal of Complex Networks. 2022 ; 10( artigo cnac022. p. 1-11):[citado 2025 nov. 16 ] Available from: https://doi.org/10.1093/comnet/cnac022

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