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Temporal Dynamics of Collaborative Networks in Large Scientific Consortia.
Wang, Daifeng; Yan, Koon-Kiu; Rozowsky, Joel; Pan, Eric; Gerstein, Mark.
Afiliação
  • Wang D; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
  • Yan KK; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
  • Rozowsky J; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
  • Pan E; Department of Computer Science, Yale University, New Haven, CT, USA.
  • Gerstein M; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA; Department of Computer Science, Yale University, New Haven, CT, USA. Electronic address: mark@gersteinlab.org.
Trends Genet ; 32(5): 251-253, 2016 05.
Article em En | MEDLINE | ID: mdl-27005445
The emergence of collective creative enterprise such as large scientific consortia is a unique feature in modern scientific research. We analyzed the temporal co-authorship network structures of ENCODE and modENCODE consortia. Our analysis revealed that the consortium members work closely as a community whereas non-members collaborate in the scale of a few laboratories. We also identified a few brokers playing an important role to facilitate collaborations with outside researchers.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Revisão da Pesquisa por Pares / Comportamento Cooperativo Limite: Humans Idioma: En Revista: Trends Genet Assunto da revista: GENETICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Revisão da Pesquisa por Pares / Comportamento Cooperativo Limite: Humans Idioma: En Revista: Trends Genet Assunto da revista: GENETICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos