Recency predicts bursts in the evolution of author citations (2020)
- Authors:
- Autor USP: AMANCIO, DIEGO RAPHAEL - ICMC
- Unidade: ICMC
- DOI: 10.1162/qss_a_00070
- Subjects: BIBLIOMETRIA; INDICADORES CIENTÍFICOS; APRENDIZADO COMPUTACIONAL
- Keywords: author citations; bursts; model; preferential attachment; recency
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Quantitative Science Studies
- ISSN: 2641-3337
- Volume/Número/Paginação/Ano: v. 1, n. 3, p. 1298-1308, 2020
- 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
SILVA, Filipi Nascimento et al. Recency predicts bursts in the evolution of author citations. Quantitative Science Studies, v. 1, n. 3, p. 1298-1308, 2020Tradução . . Disponível em: https://doi.org/10.1162/qss_a_00070. Acesso em: 23 abr. 2024. -
APA
Silva, F. N., Tandon, A., Amancio, D. R., Flammini, A., Menczer, F., Milojevic, S., & Fortunato, S. (2020). Recency predicts bursts in the evolution of author citations. Quantitative Science Studies, 1( 3), 1298-1308. doi:10.1162/qss_a_00070 -
NLM
Silva FN, Tandon A, Amancio DR, Flammini A, Menczer F, Milojevic S, Fortunato S. Recency predicts bursts in the evolution of author citations [Internet]. Quantitative Science Studies. 2020 ; 1( 3): 1298-1308.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1162/qss_a_00070 -
Vancouver
Silva FN, Tandon A, Amancio DR, Flammini A, Menczer F, Milojevic S, Fortunato S. Recency predicts bursts in the evolution of author citations [Internet]. Quantitative Science Studies. 2020 ; 1( 3): 1298-1308.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1162/qss_a_00070 - 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
- 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
- Word sense induction using word embeddings and community detection in 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]
Informações sobre o DOI: 10.1162/qss_a_00070 (Fonte: oaDOI API)
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