Intraorganizational scientific collaboration: analysis of networks by co-occurrence of keywords.
DOI:
https://doi.org/10.19132/1808-5245251.87-110Keywords:
Network Analysis. Scientific collaboration. Co-occurrence of words. Coupling.Abstract
Research on the impacts of collaboration on scientific research has
been growing in recent years, mainly focused on the policy implications and
allocation of financial resources. Scientific collaboration can encompass various
levels of analysis, with emphasis on the internal - intrainstitutional, (intra)
national - or in situating what is being analyzed in an external context -
interinstitutional, international and others. However, the issue of intraorganizational
collaboration and identification of possible collaborations have
little approach and studies. There is no knowledge of studies that deal with these
two themes in order to identify opportunities for internal collaboration in an
institution. Thus, this paper presents an overview of the scientific collaboration
between the professors of a federal university in the state of São Paulo, and
presents a method to identify potential researchers for future collaborations. The
identification of these potential collaborations is based on the coupling of
authors by subject matter through the keywords that the professors themselves
fill in their Lattes Curricula. 635 professors and 2,678 words were identified. As
a result, a keyword affiliation network where it is possible to identify
researchers with high potential for collaboration is presented, which can help
teachers identify their potential partners, as well as be used by strategic
institutional bodies to foster collaboration between internal professors to the
organization.
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