科学生产平台的成长和普及是多项研究的主题，对群体中的共产行为进行了相关分析。研究人员和他们的科学作品可以作为共同作者社交网络进行分析 ，因此研究人员通过共同的出版物被相互连接。在此文中，可以分析共同创建网络，以查找可以描述或描述它们的模式。本文介绍了巴西计算机科学研究生课程共同作者网络的分析和定性。为此，我们从巴西研究人员的课程中收集数据，并模拟研究人员参与的研究生课程之间的共同作者网络。对每种网络拓扑都进行了复杂的网络测量和三个定性指标分析，以评估出版物的质量。此外， 研究生课程的 合著网络与CAPES获得的评价有关，该评估将定性等级归因于巴西的研究生课程。结果表明了一些最相关的拓扑指标，用于项目表征和评估，以不同的定性率进行评价，并指明了CAPES是最好的评估研究生课程的模式。
The growth and popularization of platforms on scientific production have been the subject of several studies, producing relevant analyses of co-authorship behavior among groups of researchers. Researchers and their scientific productions can be analyzed as co-authorship 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.
原文作者：Alex Junior Nunes da Silva, Matheus Montanini Breve, Jesús Pascual Mena-Chalco, Fabrício Martins Lop