Authorship recognition via fluctuation analysis of network topology and word intermittency (2015)
- Autor:
- Autor USP: AMANCIO, DIEGO RAPHAEL - ICMC
- Unidade: ICMC
- DOI: 10.1088/1742-5468/2015/03/P03005
- Subjects: REDES NEURAIS; LINGUÍSTICA COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Statistical Mechanics : Theory and Experiment
- ISSN: 1742-5468
- Volume/Número/Paginação/Ano: v. 2015, n. 3, p. P03005-1-P03005-20, mar. 2015
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
AMANCIO, Diego Raphael. Authorship recognition via fluctuation analysis of network topology and word intermittency. Journal of Statistical Mechanics : Theory and Experiment, v. 2015, n. 3, p. P03005-1-P03005-20, 2015Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/2015/03/P03005. Acesso em: 31 mar. 2026. -
APA
Amancio, D. R. (2015). Authorship recognition via fluctuation analysis of network topology and word intermittency. Journal of Statistical Mechanics : Theory and Experiment, 2015( 3), P03005-1-P03005-20. doi:10.1088/1742-5468/2015/03/P03005 -
NLM
Amancio DR. Authorship recognition via fluctuation analysis of network topology and word intermittency [Internet]. Journal of Statistical Mechanics : Theory and Experiment. 2015 ; 2015( 3): P03005-1-P03005-20.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1088/1742-5468/2015/03/P03005 -
Vancouver
Amancio DR. Authorship recognition via fluctuation analysis of network topology and word intermittency [Internet]. Journal of Statistical Mechanics : Theory and Experiment. 2015 ; 2015( 3): P03005-1-P03005-20.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1088/1742-5468/2015/03/P03005 - A complex network approach to stylometry
- Word sense induction using word embeddings and community detection in complex networks
- Comparing the topological properties of real and artificially generated scientific manuscripts
- Extractive multi document summarization using dynamical measurements of complex networks
- A perspective on the advancement of natural language processing tasks via topological analysis of complex networks: comment on "Approaching human language with complex networks" by Cong and Liu. [Carta]
- Extractive multi-document summarization using multilayer networks
- Authorship attribution via network motifs identification
- Labelled network subgraphs reveal stylistic subtleties in written texts
- Probing the topological properties of complex networks modeling short written texts
- Network analysis of named entity co-occurrences in written texts
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