Identifying the perceived local properties of networks reconstructed from biased random walks (2024)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; GUERREIRO, LUCAS - ICMC
- Unidade: ICMC
- DOI: 10.1371/journal.pone.0296088
- Assunto: REDES COMPLEXAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2024
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
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: 09 jan. 2026. -
APA
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 -
NLM
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 2026 jan. 09 ] 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 2026 jan. 09 ] Available from: https://doi.org/10.1371/journal.pone.0296088 - A comparative analysis of knowledge acquisition performance in complex networks
- Recovering network topology and dynamics from sequences: a machine learning approach
- Knowledge acquisition and reconstruction in complex networks
- Comparing the topological properties of real and artificially generated scientific manuscripts
- Probing the topological properties of complex networks modeling short written texts
- Network analysis of named entity co-occurrences in written texts
- A complex network approach to stylometry
- Classificação de textos com redes complexas
- Word sense induction using word embeddings and community detection in complex networks
- Authorship recognition via fluctuation analysis of network topology and word intermittency
Informações sobre o DOI: 10.1371/journal.pone.0296088 (Fonte: oaDOI API)
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