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arXiv 2012.12439cs.SIcs.DL
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巴西计算机科学研究生项目合著网络分析

Analysis of co-authorship networks among Brazilian graduate programs in computer science

Alex Junior Nunes da Silva, Matheus Montanini Breve, Jesús Pascual Mena-Chalco, Fabrício Martins Lopes

摘要:

科学生产平台的增长和普及一直是几项研究的主题,对研究人员群体之间的合作行为进行了相关分析。研究人员和他们的科学成果可以被分析为合著社交网络,因此研究人员通过共同的出版物联系在一起。在这种情况下,可以分析共同创作网络,以找到可以描述或表征它们的模式。这项工作提出了在计算机科学的学术巴西研究生课程的合著网络的分析和表征。为此,巴西研究人员的课程数据被收集和建模为研究人员参与的研究生课程之间的共同创作网络。每个网络拓扑结构进行了分析,关于复杂的网络测量和三个定性指标,评价出版物的质量。此外,研究生课程的合著网络的特点是由CAPES收到的评价,这属性在巴西的研究生课程的质量等级。结果表明,一些最相关的拓扑措施的程序表征和评价在不同的定性率,并表示最好的CAPES评估的研究生课程的模式。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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