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With the aim of providing subsidies to understand how scientific collaboration process occurs and develops into a research institution, particularly IPEN, this study used two methodological approaches. The first used the social networking analysis (SNA) technique to map the scientific collaboration networks in R&D of IPEN. The data used for the SNA technique were extracted from the technical and scientific publications database of IPEN, using a computer program, and were based on co-authorship from 2001 to 2010 period. These data were grouped into consecutive intervals of two years generating five biennial networks. This first approach showed several structural features related to collaborative networks, especially the most prominent authors, distribution of components, density, boundary spanners and aspects related to distance and clustering to define small world networks. In the second approach, partial least squares, a method to structure equation modeling, was used to evaluate and test a conceptual model based on personal, social, cultural and circumstantial factors to identify those that best explain the propensity of an IPEN’s author in establishing links of collaboration in R&D environments. From the consolidated model, we evaluated how much it explains the structural position of an author on the network based on SNA indicators. In this second part, the data were collected through a survey research using a questionnaire. The results showed that the model explains about 41% of the propensity of an IPEN author in collaborating with others authors, and in relation to the structural position of an author on the network, the explanation power of model ranged between 3% and 3.6%. Other results have shown that collaboration between IPEN authors have a positive correlation with moderate intensity to productivity, in the same way, the most central authors in the network tend to increase its visibility. Finally, several other bibliometric statistical indicators related to R&D collaboration network of IPEN were determined and unveiled, such as the average number of authors per publication, the average of publications by IPEN authors, the total number of publications, the total number of authors, among others. Thus, this work provides a theoretical and empirical contribution to the studies related to scientific collaboration and to the transfer and preservation process of knowledge, as well as various subsidies that contribute to the decision making context in R&D environments.

Estudo sistêmico da geração de conhecimento no IPEN