APLICAÇÃO DA TEORIA DAS REDES COMPLEXAS E DA ANÁLISE DE REDES SOCIAIS PARA AVALIAÇÃO DA PRODUÇÃO INTELECTUAL CIENTÍFICA DOS PROGRAMAS DE PÓS-GRADUAÇÃO STRICTO SENSU ACADÊMICOS EM ENGENHARIA DE PRODUÇÃO 2013-2015

Abstract

This paper presents the application of Complex Networks Theory and Analysis of Social Networks (ARS) to evaluate the scientific production of the Academic Postgraduate Programs in Production Engineering. The data were collected in the Sucupira Platform (PS) for the period from 2013 to 2015, part of the current evaluation quadrennium (2013 to 2016). The database was arranged in Excel spreadsheets with the variables acquired from the PS. The data were transformed from the extension xlsx to csv, when compatibilizing them for use of software R, version 3.1.1 and environment RStudio 0.99.891. The developed scripts used the Igraph, Network, Bipartite and Ggraph packages that were suitable for bipartite network analysis. The study of the demographic patterns of collaboration between programs indicates that these are stronger among programs from the same region. The production patterns of the CAPES 3 programs indicated the production of the 1437 articles in the period, most of which are from strata B5 and lower production in upper strata (A1, A2 and B1), in which 5002 employees participated, Of external participants. When analyzing the standards of all the programs, it was noticed that the CAPES concepts of the programs obtained in the triennium 2010-2012 did not imply in the higher productions in the upper strata. The most wanted journals for publications in A1 (Journal of Cleaner Production, with 18.51%), for A2 (Energy Policy with 8.11%) and B1 (International Journal, Advanced Manufacturing Technology with 6.44%). The ARS corroborated in the exploration of the data in bipartite network evidencing its potential of analysis and visualization.