Guzman, Grover Enrique Castro 
; Stadler, Peter F. ; Fujita, André
Source: Network Science. Unidade: IME
Assunto: TEORIA DOS GRAFOS
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ABNT
GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. Network Science, v. 9, n. 3, p. 312-327, 2021Tradução . . Disponível em: https://doi.org/10.1017/nws.2021.10. Acesso em: 30 abr. 2024.APA
Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2021). Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. Network Science, 9( 3), 312-327. doi:10.1017/nws.2021.10NLM
Guzman GEC, Stadler PF, Fujita A. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions [Internet]. Network Science. 2021 ; 9( 3): 312-327.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1017/nws.2021.10Vancouver
Guzman GEC, Stadler PF, Fujita A. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions [Internet]. Network Science. 2021 ; 9( 3): 312-327.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1017/nws.2021.10
