A process for characterization and analysis of networks scientific collaboration institutional

• Autor(a) principal: Dias, Thiago Magela Rodrigues
• Data de Publicação: 2017
• Outros Autores: Gomes, Roberth Santos, Oliveira, Jhonatan Fernando, Moita, Gray Farias
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Encontros Bibli
• Texto Completo: https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2017v22n48p59
• topic: Redes de colaboração científica; Extração de dados; Recuperação da informação; Networks scientific collaboration; Data extraction; Recovery information

http://dx.doi.org/10.5007/1518-2924.2017v22n48p59Knowledge is, nowadays, a key factor in defining and analyzing the development of a country and its population as a whole. The construction of knowledge inevitably occurs through collaborations, where researchers gather towards common goals, forming the scientific collaboration networks. Such networks are characterized when researchers perform and publish their work jointly, regardless of the institution or geographic region in which they are located. The scientific collaboration between different institutions enables the exchange of knowledge and consequently effective exchange of experiences, promoting the evolution of science. In this context, analyzing such networks can provide knowledge as it has the scientific collaboration between research institutions and how these collaborations have contributed to the excellence of the research conducted. This job aims to analyze the network of institutional collaborations from data from Lattes Curriculum. Networks are characterized by collaboration between researchers from different institutions after the characterization of networks, large data visualization techniques and metrics of network analysis are applied to see how the national scientific collaboration has occurred.