Authorship attribution via network motifs identification (2016)
- Authors:
- Autor USP: AMANCIO, DIEGO RAPHAEL - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2016.071
- Subjects: REDES COMPLEXAS; PROCESSAMENTO DE LINGUAGEM NATURAL
- Keywords: authorship attribution; network motifs
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
MARINHO, Vanessa Queiroz e HIRST, Graeme e AMANCIO, Diego Raphael. Authorship attribution via network motifs identification. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/BRACIS.2016.071. Acesso em: 27 dez. 2025. -
APA
Marinho, V. Q., Hirst, G., & Amancio, D. R. (2016). Authorship attribution via network motifs identification. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2016.071 -
NLM
Marinho VQ, Hirst G, Amancio DR. Authorship attribution via network motifs identification [Internet]. Proceedings. 2016 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/BRACIS.2016.071 -
Vancouver
Marinho VQ, Hirst G, Amancio DR. Authorship attribution via network motifs identification [Internet]. Proceedings. 2016 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/BRACIS.2016.071 - Classificação de textos com redes complexas
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- Authorship recognition via fluctuation analysis of network topology and word intermittency
- Extractive multi document summarization using dynamical measurements of complex networks
- A complex network approach to stylometry
- Recency predicts bursts in the evolution of author citations
- Modeling supply-chain networks with firm-to-firm wire transfers
- 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
Informações sobre o DOI: 10.1109/BRACIS.2016.071 (Fonte: oaDOI API)
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