论文标题

通过学术数据分析了解顾问 - 亚visee关系

Understanding the Advisor-advisee Relationship via Scholarly Data Analysis

论文作者

Liu, Jiaying, Tang, Tao, Kong, Xiangjie, Tolba, Amr, AL-Makhadmeh, Zafer, Xia, Feng

论文摘要

由于其普遍性和必要性,顾问 - 顾问的关系在学术网络中很重要。尽管越来越多地分析新移民的职业,但顾问和建议之间的不同协作模式的结果仍然未知。本文的目的是找出顾问的学术特征与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,随着顾问学年的增加,建议的表现会经历初始增长,遵循持续的阶段,最终导致趋势下降。我们还发现成就律师可以提出熟练建议的现象。我们探讨了两个方面的结论:(1)由具有高学术水平的顾问指导的建议,其学习成绩比其余的更好; (2)具有较高学术水平的顾问可以提高其建议的H-Index排名。这项工作提供了有关促进我们对顾问学术特征与建议表现以及顾问选择之间关系的理解的新见解。

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.

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