A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes (2017)
- Authors:
- Autor USP: COBRE, JULIANA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.socnet.2016.06.005
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA; REDES SOCIAIS; TEORIA DOS GRAFOS; MÉTODOS MCMC
- Keywords: Research group
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Social Networks
- ISSN: 0378-8733
- Volume/Número/Paginação/Ano: v. 48, p. 110-115, Jan. 2017
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
OLIVEIRA, Sandra Cristina de; COBRE, Juliana; FERREIRA, Taiane de Paula. A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes. Social Networks, Amsterdam, Elsevier, v. 48, n. Ja 2017, p. 110-115, 2017. Disponível em: < http://dx.doi.org/10.1016/j.socnet.2016.06.005 > DOI: 10.1016/j.socnet.2016.06.005. -
APA
Oliveira, S. C. de, Cobre, J., & Ferreira, T. de P. (2017). A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes. Social Networks, 48( Ja 2017), 110-115. doi:10.1016/j.socnet.2016.06.005 -
NLM
Oliveira SC de, Cobre J, Ferreira T de P. A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes [Internet]. Social Networks. 2017 ; 48( Ja 2017): 110-115.Available from: http://dx.doi.org/10.1016/j.socnet.2016.06.005 -
Vancouver
Oliveira SC de, Cobre J, Ferreira T de P. A Bayesian approach for the reliability of scientific co-authorship networks with emphasis on nodes [Internet]. Social Networks. 2017 ; 48( Ja 2017): 110-115.Available from: http://dx.doi.org/10.1016/j.socnet.2016.06.005 - Why and how to measure the reliability of scientific co-authorship networks
- Factors that may lead on the non-renewal of certified organic product according to organic producers in Brazil
- Modelo de mistura padrão com censura informativa
- Modelos estocásticos contínuos e discretos aplicados em finanças
- Bayesian inference for the reliability of scientific co-authorship networks with emphasis on edges or co-authorship relations
- Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction
- A multiple time scale survival model with a cure fraction
- Survival analysis of the industrial engineering students dropout from UNESP
- Modelling two types of heterogeneity in the analysis of student success
- A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data
Informações sobre o DOI: 10.1016/j.socnet.2016.06.005 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
