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Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
arXiv - CS - Digital Libraries Pub Date : 2020-08-20 , DOI: arxiv-2008.08743
Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer AL-Makhadmeh, Feng Xia

Advisor-advisee relationship is important in academic networks due to its universality and necessity. Despite the increasing desire to analyze the career of newcomers, however, the outcomes of different collaboration patterns between advisors and advisees remain unknown. The purpose of this paper is to find out the correlation between advisors' academic characteristics and advisees' academic performance in Computer Science. Employing both quantitative and qualitative analysis, we find that with the increase of advisors' academic age, advisees' performance experiences an initial growth, follows a sustaining stage, and finally ends up with a declining trend. We also discover the phenomenon that accomplished advisors can bring up skilled advisees. We explore the conclusion from two aspects: (1) Advisees mentored by advisors with high academic level have better academic performance than the rest; (2) Advisors with high academic level can raise their advisees' h-index ranking. This work provides new insights on promoting our understanding of the relationship between advisors' academic characteristics and advisees' performance, as well as on advisor choosing.

中文翻译:

通过学术数据分析了解顾问与被顾问的关系

由于其普遍性和必要性,顾问-被顾问关系在学术网络中很重要。然而,尽管越来越希望分析新人的职业生涯,但顾问和被顾问之间不同合作模式的结果仍然未知。本文的目的是找出导师的学术特征与导师在计算机科学方面的学术表现之间的相关性。采用定量和定性分析,我们发现,随着顾问学龄的增加,被顾问的绩效经历了一个初步的增长,然后是一个持续的阶段,最后呈下降趋势。我们还发现有成就的顾问可以培养出熟练的顾问的现象。我们从两个方面探讨结论:(1) 由学术水平高的顾问指导的被指导者的学习成绩优于其他顾问;(2) 学术水平高的顾问可以提高顾问的h-index排名。这项工作为促进我们对顾问学术特征与顾问绩效之间关系的理解以及顾问选择提供了新的见解。
更新日期:2020-08-21
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