arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2108.03381cs.HC
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寻求成功:理解学术职业动态的可视化方法

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Yifang Wang, Tai-Quan Peng, Huihua Lu, Haoren Wang, Xiao Xie, Huamin Qu, Yingcai Wu

摘要:

如何实现学术生涯的成功一直是社会科学研究中的一个长期研究问题。随着越来越多的大规模有据可查的学术概况和职业轨迹的可用性,学术界对职业成功的兴趣重新焕发了活力,这已经成为一个活跃的研究领域,称为科学的科学(即,SciSci)。在这项研究中,我们采用了一种创新的动态视角来研究个人和社会因素如何随着时间的推移影响职业成功。我们提出了ACSeeker,一个交互式的可视化分析方法,探索成功的潜在因素,以及多种因素的影响如何在学术生涯的不同阶段发生变化。我们首先应用多因素影响分析框架来估计不同因素对学术生涯成功的影响。然后,我们开发了一个可视化分析系统,以交互方式了解动态效果。设计了一个新的时间轴,以揭示和比较基于整个人口的因素的影响。一个定制的职业生涯线显示个人的职业发展提供了一个详细的检查。为了验证ACSeeker的有效性和可用性,我们报告了两个案例研究和社会科学家和一般研究人员的访谈。

英文摘要:

How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic profiles and career trajectories, scholarly interest in career success has been reinvigorated, which has emerged to be an active research domain called the Science of Science (i.e., SciSci). In this study, we adopt an innovative dynamic perspective to examine how individual and social factors will influence career success over time. We propose ACSeeker, an interactive visual analytics approach to explore the potential factors of success and how the influence of multiple factors changes at different stages of academic careers. We first applied a Multi-factor Impact Analysis framework to estimate the effect of different factors on academic career success over time. We then developed a visual analytics system to understand the dynamic effects interactively. A novel timeline is designed to reveal and compare the factor impacts based on the whole population. A customized career line showing the individual career development is provided to allow a detailed inspection. To validate the effectiveness and usability of ACSeeker, we report two case studies and interviews with a social scientist and general researchers.

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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