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:
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
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: 08 abr. 2026. -
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 2026 abr. 08 ] 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 2026 abr. 08 ] Available from: https://doi.org/10.1371/journal.pone.0170527 - Authorship identification using network dynamics
- On the role of words in the network structure of texts: application to authorship attribution
- Topological-collaborative approach for disambiguating authors’ names in collaborative networks
- Robustness of community structure to node removal
- Using network science and text analytics to produce surveys in a scientific topic
- Predicting citation impact of research papers using GPT and other text embeddings
- A complex network approach to stylometry
- Word sense induction using word embeddings and community detection in complex networks
- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Comparing the topological properties of real and artificially generated scientific manuscripts
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