Why and how to measure the reliability of scientific co-authorship networks (2019)
- Authors:
- Autor USP: COBRE, JULIANA - ICMC
- Unidade: ICMC
- Assunto: INFERÊNCIA BAYESIANA E REDES DE CRENÇA
- Language: Inglês
- Imprenta:
- Publisher: ICMC/USP - DEs/UFSCar
- Publisher place: São Carlos
- Date published: 2019
- Source:
- Título do periódico: Abstracts
- Conference titles: Workshop on Probabilistic and Statistical Methods - WPSM
-
ABNT
COBRE, Juliana e OLIVEIRA, Sandra Cristina de. Why and how to measure the reliability of scientific co-authorship networks. 2019, Anais.. São Carlos: ICMC/USP - DEs/UFSCar, 2019. Disponível em: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf. Acesso em: 29 set. 2024. -
APA
Cobre, J., & Oliveira, S. C. de. (2019). Why and how to measure the reliability of scientific co-authorship networks. In Abstracts. São Carlos: ICMC/USP - DEs/UFSCar. Recuperado de http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf -
NLM
Cobre J, Oliveira SC de. Why and how to measure the reliability of scientific co-authorship networks [Internet]. Abstracts. 2019 ;[citado 2024 set. 29 ] Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf -
Vancouver
Cobre J, Oliveira SC de. Why and how to measure the reliability of scientific co-authorship networks [Internet]. Abstracts. 2019 ;[citado 2024 set. 29 ] Available from: http://wpsm.icmc.usp.br/7WPSM/2019_pipges_workshop_programa.pdf - Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil
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