The growth and popularization of platforms on scientific production have been the subject of several studies, producing relevant analyses of coauthorship behavior among groups of researchers. Researchers and their scientific productions can be analyzed as coauthorship social networks, so researchers are linked through common publications. In this context, coauthoring networks can be analyzed to find patterns that can describe or characterize them. This work presents the analysis and characterization of co-authorship networks of academic Brazilian graduate programs in computer science. To this end, data from the curricula of Brazilian researchers were collected and modeled as coauthoring networks among the graduate programs that researchers participate in. Each network topology was analyzed regarding complex network measurements and three qualitative indices that evaluate the publications quality. In addition, the coauthorship networks of the graduate programs were characterized in relation to the evaluation received by CAPES, which attributes a qualitative grade to the graduate programs in Brazil. The results indicate some of the most relevant topological measures for the programs characterization and evaluate at different qualitative rates and indicate a pattern of the graduate programs best evaluated by CAPES.

中文翻译：

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巴西计算机科学研究生课程中的共同作者网络分析

科学生产平台的增长和普及已成为数项研究的主题，对研究人员群体之间的共同作者行为进行了相关分析。可以将研究人员及其科学成果作为共同作者的社交网络进行分析，因此可以通过共同的出版物将研究人员联系起来。在这种情况下，可以对共同创作网络进行分析，以找到可以描述或表征它们的模式。这项工作介绍了计算机科学领域的巴西学术研究生课程合著者网络的分析和表征。为此，收集了巴西研究人员课程中的数据，并将其建模为研究人员参与的研究生项目之间的共同撰写网络。针对复杂的网络测量和评估出版物质量的三个定性指标，分析了每种网络拓扑。此外，根据CAPES收到的评估对研究生项目的共同作者网络进行了表征，该评估将定性等级归因于巴西的研究生项目。结果表明，对于程序的表征和以不同的定性速率进行评估，它们是一些最相关的拓扑度量，并且表明了由CAPES评估的研究生程序的最佳模式。