利用标签分析COVID-19相关开源项目目的及技术应用

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Liang Tian, Chengzhi Zhang
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引用次数: 0

摘要

新冠肺炎疫情深刻影响了全人类的生活。新兴技术为防治这一大流行病作出了重大贡献。对技术应用的广泛审查将有助于促进未来的研究和技术发展,为未来的流行病提供更好的解决方案。与已经进行的广泛的学术社区调查相反,本研究探索了IT社区的实践。使用GitHub作为研究目标,我们分析了大流行期间提交的项目的主要功能。本研究考察了具有不同功能的项目的趋势以及功能与技术之间的关系。研究结果表明,在GitHub社区中,具有不同功能的项目数量不平衡,即应用程序占项目的一半以上。相比之下,其他数据分析和人工智能项目所占的份额较小。这与学术界的调查有很大不同,学术界的调查结果更多地关注尖端技术,而实践社区的项目使用更成熟的技术。开发人员的自发行为可能缺乏组织,使其难以满足目标需求。关键词:COVID,实践社区,技术,功能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Hashtags to Analyse Purpose and Technology Application of Open-Source Project Related to COVID-19
COVID-19 has had a profound impact on the lives of all human beings. Emerging technologies have made significant contributions to the fight against the pandemic. An extensive review of the application of tech- nology will help facilitate future research and technology development to provide better solutions for future pan- demics. In contrast to the extensive surveys of academic communities that have already been conducted, this study explores the IT community of practice. Using GitHub as the study target, we analysed the main functionalities of the projects submitted during the pandemic. This study examines trends in projects with different functionalities and the relationship between functionalities and technolo- gies. The study results show an imbalance in the number of projects with varying functionalities in the GitHub community, i.e., applications account for more than half of the projects. In contrast, other data analysis and AI projects account for a smaller share. This differs significantly from the survey of the academic community, where the findings focus more on cutting-edge technologies while projects in the community of practice use more mature technologies. The spontaneous behavior of developers may lack organization and make it challenging to target needs. Keywords: COVID, communities of practice, technologies, functionalities
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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