Analysis model of scientific production in Postgraduate Programs based on Interaction Networks: A Case Study in Environmental Sciences

Washington de Jesus Sant’Anna de Franca-Rocha; Rodrigo Nogueira Vasconcelos; Joselisa Maria Chaves; Patricia  Bilotta; Isabel Jurema Grimm; Sónia Maria Carvalho Ribeiro; Rodrigo Affonso de Albuquerque Nobrega; Maria do Carmo Martins Sobral; Arlindo; Carlos Alberto Cioce Sampaio

doi:10.5327/Z2176-94781619

Authors

Washington de Jesus Sant’Anna de Franca-Rocha Universidade Estadual de Feira de Santana (UEFS) – Brazil https://orcid.org/0000-0002-2175-2792
Rodrigo Nogueira Vasconcelos Universidade Estadual de Feira de Santana (UEFS) – Brazil https://orcid.org/0000-0002-1368-6721
Joselisa Maria Chaves Universidade Estadual de Feira de Santana (UEFS) – Brazil https://orcid.org/0000-0003-3627-8074
Patricia Bilotta Centro Universitário Augusto Motta (UNISUAM) - Brazil https://orcid.org/0000-0002-2463-2331
Isabel Jurema Grimm Instituto Superior de Administração e Economia (ISAE) - Brazil https://orcid.org/0000-0003-0211-8048
Sónia Maria Carvalho Ribeiro Universidade Federal de Minas Gerais (UFMG) - Brazil https://orcid.org/0000-0002-3045-8632
Rodrigo Affonso de Albuquerque Nobrega Universidade Federal de Minas Gerais (UFMG) - Brazil https://orcid.org/0000-0001-7058-5903
Maria do Carmo Martins Sobral Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0001-8945-1606
Arlindo Philippi Junior Universidade de São Paulo (USP) - Brazil https://orcid.org/0000-0003-0420-7749
Carlos Alberto Cioce Sampaio Fundação Universidade Regional de Blumenau (FURB) - Brazil https://orcid.org/0000-0002-0664-0266

DOI:

https://doi.org/10.5327/Z2176-94781619

Keywords:

evaluation of graduate programs; Sucupira Platform; semantic networks.

Abstract

The ongoing evaluation of graduate programs (GP) is an important tool for improving the landscape of scientific knowledge and technological development in Brazil. The objective of this article was to develop a model for analyzing the scientific production of GP, based on interaction network resources with a focus on environmental sciences, for the purpose of detecting patterns and connections existing among these networks. The scope of the analysis was broad, encompassing all 112 GP, in addition to courses in the field of Environmental Sciences offered by the Coordination for the Improvement of Higher Education Personnel (CAPES), during the period from 2013 to 2016. The methodology was divided into four stages: 1. data collection and database construction (public information obtained by consulting the Sucupira Platform — CAPES); 2. data mining and processing, and the creation of an overarching network to represent the most relevant terms and themes common to all GP materials produced (theses, dissertations, research projects, articles, books, and book chapters); 3. analysis of semantic networks; and 4. generation of outcomes. The analysis yielded results such as geographical proximity and cluster maps, which allowed for an integrated analysis of GP production in the field of Environmental Sciences with respect to their central themes. The methodology employed proved to be robust and suitable for evaluating graduate programs in Brazil, as well as for identifying research gaps and emerging areas on a national scale, culminating in a proposed model based on semantic networks that analyze scientific production for four-year periods.

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