Text authorship identified using the dynamics of word co-occurrence networks (2017)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC
- Unidades: ICMC; IFSC
- DOI: 10.1371/journal.pone.0170527
- Subjects: REDES COMPLEXAS; PALAVRA; SIGNIFICADO
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2017
- 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
AKIMUSHKIN, Camilo e AMANCIO, Diego Raphael e OLIVEIRA JUNIOR, Osvaldo Novais de. Text authorship identified using the dynamics of word co-occurrence networks. PLOS One, v. 12, n. Ja 2017, p. e0170527-1-e0170527-15, 2017Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0170527. Acesso em: 29 dez. 2025. -
APA
Akimushkin, C., Amancio, D. R., & Oliveira Junior, O. N. de. (2017). Text authorship identified using the dynamics of word co-occurrence networks. PLOS One, 12( Ja 2017), e0170527-1-e0170527-15. doi:10.1371/journal.pone.0170527 -
NLM
Akimushkin C, Amancio DR, Oliveira Junior ON de. Text authorship identified using the dynamics of word co-occurrence networks [Internet]. PLOS One. 2017 ; 12( Ja 2017): e0170527-1-e0170527-15.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1371/journal.pone.0170527 -
Vancouver
Akimushkin C, Amancio DR, Oliveira Junior ON de. Text authorship identified using the dynamics of word co-occurrence networks [Internet]. PLOS One. 2017 ; 12( Ja 2017): e0170527-1-e0170527-15.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1371/journal.pone.0170527 - On the role of words in the network structure of texts: application to authorship attribution
- Authorship identification using network dynamics
- Predicting citation impact of research papers using GPT and other text embeddings
- Classificação de textos com redes complexas
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Extractive multi document summarization using dynamical measurements of complex networks
- Using network science and text analytics to produce surveys in a scientific topic
- Robustness of community structure to node removal
Informações sobre o DOI: 10.1371/journal.pone.0170527 (Fonte: oaDOI API)
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