Use este identificador para citar ou linkar para este item: http://repositoriosenaiba.fieb.org.br/handle/fieb/597
Título: Contextualized analysis of social networks: collaboration in scientific communities
Título(s) alternativo(s): Social Networking
Autor(es): Andrade, Maria Teresinha Tamanini
Braga, Patrícia
Carneiro, Tereza Kelly Gomes
Ribeiro, Núbia Moura
Moret, Marcelo A.
Pereira, Hernane Borges de Barros
Palavras-chave: Knowledge production
Collaboration
Scientific communities
Network theory
Social networks
Complex networks
Data do documento: Fev-2014
Citação: ANDRADE, Maria Teresinha Tamanini et al. Contextualized analysis of social networks: collaboration in scientific communities. Social Networking, [s.l.], v. 3, p. 71-79, 2014.
Resumo: Currently, the collaboration in scientific communities has been studied in order to explain, among other things, the knowledge diffusion. The quality of Graduate Programmes is often associated with the scientific collaboration. This paper discusses how scientific collaboration processes can be identified and characterized through social and complex networks. For this purpose, collaboration networks of bibliographic production, research projects, and committees of PhD theses and Masters’ dissertations by researchers from a graduate program in computational modeling were studied. The data were obtained from CAPES’ reports of the period from 2001 to 2009. Among the studied indices, centrality indices indicate the presence of prominent researchers who influence others and promptly interact with other researchers in the network. The indices of complex networks reveal the presence of the small-world (i.e. these networks are favorable to increase coordination between researchers) phenomenon and indicate a behavior of scale-free degree distribution (i.e. some researchers promote clustering more than others) for one of the studied networks.
URI: http://repositoriosenaiba.fieb.org.br/handle/fieb/597
Aparece nas coleções:Artigos Publicados em Periódicos (PPG MCTI)

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