On the role of words in the network structure of texts: application to authorship attribution (2018)
- Authors:
- USP affiliated authors: AMANCIO, DIEGO RAPHAEL - ICMC ; OLIVEIRA JUNIOR, OSVALDO NOVAIS DE - IFSC
- Unidades: ICMC; IFSC
- DOI: 10.1016/j.physa.2017.12.054
- Subjects: REDES COMPLEXAS; PROCESSAMENTO DE LINGUAGEM NATURAL; SEMÂNTICA DA PALAVRA
- Keywords: Complex networks; Word semantics; Authorship attribution; Similarity measures; Burstiness; Intermittency
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
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ABNT
AKIMUSHKIN, Camilo e AMANCIO, Diego Raphael e OLIVEIRA JUNIOR, Osvaldo Novais de. On the role of words in the network structure of texts: application to authorship attribution. Physica A, v. 495, p. 49-58, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2017.12.054. Acesso em: 19 set. 2024. -
APA
Akimushkin, C., Amancio, D. R., & Oliveira Junior, O. N. de. (2018). On the role of words in the network structure of texts: application to authorship attribution. Physica A, 495, 49-58. doi:10.1016/j.physa.2017.12.054 -
NLM
Akimushkin C, Amancio DR, Oliveira Junior ON de. On the role of words in the network structure of texts: application to authorship attribution [Internet]. Physica A. 2018 ; 495 49-58.[citado 2024 set. 19 ] Available from: https://doi.org/10.1016/j.physa.2017.12.054 -
Vancouver
Akimushkin C, Amancio DR, Oliveira Junior ON de. On the role of words in the network structure of texts: application to authorship attribution [Internet]. Physica A. 2018 ; 495 49-58.[citado 2024 set. 19 ] Available from: https://doi.org/10.1016/j.physa.2017.12.054 - Text authorship identified using the dynamics of word co-occurrence networks
- Authorship identification using network dynamics
- Comparing the topological properties of real and artificially generated scientific manuscripts
- 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
- Classificação de textos com redes complexas
- Robustness of community structure to node removal
- Using network science and text analytics to produce surveys in a scientific topic
Informações sobre o DOI: 10.1016/j.physa.2017.12.054 (Fonte: oaDOI API)
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