Exploiting behaviors of communities of twitter users for link prediction (2013)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1007/s13278-013-0142-8
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Source:
- Título: Social Network Analysis and Mining
- ISSN: 1869-5450
- Volume/Número/Paginação/Ano: v. 3, n. 4, p. 1063-1074, dez. 2013
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VALVERDE-REBAZA, Jorge e LOPES, Alneu de Andrade. Exploiting behaviors of communities of twitter users for link prediction. Social Network Analysis and Mining, v. 3, n. 4, p. 1063-1074, 2013Tradução . . Disponível em: https://doi.org/10.1007/s13278-013-0142-8. Acesso em: 28 fev. 2026. -
APA
Valverde-Rebaza, J., & Lopes, A. de A. (2013). Exploiting behaviors of communities of twitter users for link prediction. Social Network Analysis and Mining, 3( 4), 1063-1074. doi:10.1007/s13278-013-0142-8 -
NLM
Valverde-Rebaza J, Lopes A de A. Exploiting behaviors of communities of twitter users for link prediction [Internet]. Social Network Analysis and Mining. 2013 ; 3( 4): 1063-1074.[citado 2026 fev. 28 ] Available from: https://doi.org/10.1007/s13278-013-0142-8 -
Vancouver
Valverde-Rebaza J, Lopes A de A. Exploiting behaviors of communities of twitter users for link prediction [Internet]. Social Network Analysis and Mining. 2013 ; 3( 4): 1063-1074.[citado 2026 fev. 28 ] Available from: https://doi.org/10.1007/s13278-013-0142-8 - A multi-view approach for semi-supervised scientific paper classification
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Informações sobre o DOI: 10.1007/s13278-013-0142-8 (Fonte: oaDOI API)
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