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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.
APA
Alexandre, M., & Rodrigues, F. A. (2025). Complex financial networks. Brazilian Journal of Physics, 55, 1-8. doi:10.1007/s13538-024-01682-w
NLM
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
Vancouver
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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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.
APA
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
NLM
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
Vancouver
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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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.
APA
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
NLM
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
Vancouver
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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VITAL JUNIOR, Adilson et al. Predicting citation impact of research papers using GPT and other text embeddings. Physica A, v. 674, p. 130789-1-130789-13 + supplementary data, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2025.130789. Acesso em: 08 out. 2025.
APA
Vital Junior, A., Silva, F. N., Oliveira Junior, O. N. de, & Amancio, D. R. (2025). Predicting citation impact of research papers using GPT and other text embeddings. Physica A, 674, 130789-1-130789-13 + supplementary data. doi:10.1016/j.physa.2025.130789
NLM
Vital Junior A, Silva FN, Oliveira Junior ON de, Amancio DR. Predicting citation impact of research papers using GPT and other text embeddings [Internet]. Physica A. 2025 ; 674 130789-1-130789-13 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2025.130789
Vancouver
Vital Junior A, Silva FN, Oliveira Junior ON de, Amancio DR. Predicting citation impact of research papers using GPT and other text embeddings [Internet]. Physica A. 2025 ; 674 130789-1-130789-13 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2025.130789
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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.
APA
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
NLM
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
Vancouver
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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SALLUM, Loriz Francisco et al. Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, v. 194, p. 116163-1-116163-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116163. Acesso em: 08 out. 2025.
APA
Sallum, L. F., Alves, C. L., Toutain, T. G. L. de, Porto, J. A. M., Thielemann, C., & Rodrigues, F. A. (2025). Revealing patterns in major depressive disorder with machine learning and networks. Chaos, Solitons and Fractals, 194, 116163-1-116163-16. doi:10.1016/j.chaos.2025.116163
NLM
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
Vancouver
Sallum LF, Alves CL, Toutain TGL de, Porto JAM, Thielemann C, Rodrigues FA. Revealing patterns in major depressive disorder with machine learning and networks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116163-1-116163-16.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116163
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KLARAK, Jaromir et al. Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review. International Journal of Biological Macromolecules, v. 306, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ijbiomac.2025.141565. Acesso em: 08 out. 2025.
APA
Klarak, J., Brito, A. C. M., Moreira, L. F., Silva, F. N., Amancio, D. R., Andok, R., et al. (2025). Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review. International Journal of Biological Macromolecules, 306, 1-13. doi:10.1016/j.ijbiomac.2025.141565
NLM
Klarak J, Brito ACM, Moreira LF, Silva FN, Amancio DR, Andok R, Oliveira MCF de, Bardosova M, Oliveira Junior ON de. Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review [Internet]. International Journal of Biological Macromolecules. 2025 ; 306 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ijbiomac.2025.141565
Vancouver
Klarak J, Brito ACM, Moreira LF, Silva FN, Amancio DR, Andok R, Oliveira MCF de, Bardosova M, Oliveira Junior ON de. Using network analysis and large-language models to obtain a landscape of the literature on dressing materials for wound healing: the predominance of chitosan and other biomacromolecules : a review [Internet]. International Journal of Biological Macromolecules. 2025 ; 306 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ijbiomac.2025.141565
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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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://doi.org/10.1093/comnet/cnaf013
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TRAVIESO, Gonzalo e MERENDA, João Vitor e BRUNO, Odemir Martinez. Network classification through random walks. Chaos, Solitons and Fractals, v. 199, p. 116817-1-116817-7, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116817. Acesso em: 08 out. 2025.
APA
Travieso, G., Merenda, J. V., & Bruno, O. M. (2025). Network classification through random walks. Chaos, Solitons and Fractals, 199, 116817-1-116817-7. doi:10.1016/j.chaos.2025.116817
NLM
Travieso G, Merenda JV, Bruno OM. Network classification through random walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 199 116817-1-116817-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116817
Vancouver
Travieso G, Merenda JV, Bruno OM. Network classification through random walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 199 116817-1-116817-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116817
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BENATTI, Alexandre e ARRUDA, Henrique Ferraz de e COSTA, Luciano da Fontoura. Interrelating neuronal morphology by coincidence similarity networks. Journal of Theoretical Biology, v. 606, p. 112104-1-112104-11, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.jtbi.2025.112104. Acesso em: 08 out. 2025.
APA
Benatti, A., Arruda, H. F. de, & Costa, L. da F. (2025). Interrelating neuronal morphology by coincidence similarity networks. Journal of Theoretical Biology, 606, 112104-1-112104-11. doi:10.1016/j.jtbi.2025.112104
NLM
Benatti A, Arruda HF de, Costa L da F. Interrelating neuronal morphology by coincidence similarity networks [Internet]. Journal of Theoretical Biology. 2025 ; 606 112104-1-112104-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.jtbi.2025.112104
Vancouver
Benatti A, Arruda HF de, Costa L da F. Interrelating neuronal morphology by coincidence similarity networks [Internet]. Journal of Theoretical Biology. 2025 ; 606 112104-1-112104-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.jtbi.2025.112104
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KLARAK, Jaromir et al. The landscape of wearable sensors and automated literature analysis with large-language models. ACS Omega, v. 10, n. 37, p. 42127-42134, 2025Tradução . . Disponível em: https://doi.org/10.1021/acsomega.5c04542. Acesso em: 08 out. 2025.
APA
Klarak, J., Santi, V. H. B. D., Moreira, L. F., Andok, R., Bardosova, M., Oliveira, M. C. F. de, & Oliveira Junior, O. N. de. (2025). The landscape of wearable sensors and automated literature analysis with large-language models. ACS Omega, 10( 37), 42127-42134. doi:10.1021/acsomega.5c04542
NLM
Klarak J, Santi VHBD, Moreira LF, Andok R, Bardosova M, Oliveira MCF de, Oliveira Junior ON de. The landscape of wearable sensors and automated literature analysis with large-language models [Internet]. ACS Omega. 2025 ; 10( 37): 42127-42134.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acsomega.5c04542
Vancouver
Klarak J, Santi VHBD, Moreira LF, Andok R, Bardosova M, Oliveira MCF de, Oliveira Junior ON de. The landscape of wearable sensors and automated literature analysis with large-language models [Internet]. ACS Omega. 2025 ; 10( 37): 42127-42134.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acsomega.5c04542
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ALEXANDRE, Michel et al. Nestedness and systemic risk in financial networks. v. 6, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.latcb.2024.100136. Acesso em: 08 out. 2025.
APA
Alexandre, M., Xavier, F. J., Silva, T. C., & Rodrigues, F. A. (2025). Nestedness and systemic risk in financial networks, 6, 1-8. doi:10.1016/j.latcb.2024.100136
NLM
Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. Nestedness and systemic risk in financial networks [Internet]. 2025 ; 6 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.latcb.2024.100136
Vancouver
Alexandre M, Xavier FJ, Silva TC, Rodrigues FA. Nestedness and systemic risk in financial networks [Internet]. 2025 ; 6 1-8.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.latcb.2024.100136
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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.
APA
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
NLM
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
Vancouver
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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MERENDA, João Vitor e TRAVIESO, Gonzalo e BRUNO, Odemir Martinez. Pattern recognition on networks using bifurcated deterministic self-avoiding walks. Chaos, Solitons and Fractals, v. 194, p. 116100-1-116100-10, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116100. Acesso em: 08 out. 2025.
APA
Merenda, J. V., Travieso, G., & Bruno, O. M. (2025). Pattern recognition on networks using bifurcated deterministic self-avoiding walks. Chaos, Solitons and Fractals, 194, 116100-1-116100-10. doi:10.1016/j.chaos.2025.116100
NLM
Merenda JV, Travieso G, Bruno OM. Pattern recognition on networks using bifurcated deterministic self-avoiding walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116100-1-116100-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116100
Vancouver
Merenda JV, Travieso G, Bruno OM. Pattern recognition on networks using bifurcated deterministic self-avoiding walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116100-1-116100-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116100
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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.
APA
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
NLM
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
Vancouver
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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BENATTI, Alexandre e COSTA, Luciano da Fontoura. On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, v. 183, p. 114904-1-114904-7, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114904. Acesso em: 08 out. 2025.
APA
Benatti, A., & Costa, L. da F. (2024). On the transient and equilibrium features of growing fractal complex networks. Chaos, Solitons and Fractals, 183, 114904-1-114904-7. doi:10.1016/j.chaos.2024.114904
NLM
Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
Vancouver
Benatti A, Costa L da F. On the transient and equilibrium features of growing fractal complex networks [Internet]. Chaos, Solitons and Fractals. 2024 ; 183 114904-1-114904-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2024.114904
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BIAN, Zheng. Rigorous mean-field dimensional reduction in heterogeneous network dynamics. 2024. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/. Acesso em: 08 out. 2025.
APA
Bian, Z. (2024). Rigorous mean-field dimensional reduction in heterogeneous network dynamics (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/
NLM
Bian Z. Rigorous mean-field dimensional reduction in heterogeneous network dynamics [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/
Vancouver
Bian Z. Rigorous mean-field dimensional reduction in heterogeneous network dynamics [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-30092024-145313/
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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.
APA
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
NLM
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
Vancouver
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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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.
APA
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
NLM
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
Vancouver
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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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.
APA
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
NLM
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
Vancouver
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