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Identification of successful mentoring communities using network-based analysis of mentor–mentee relationships across Nobel laureates

机译:使用基于网络的诺贝尔奖获得者指导者与受训者关系分析确定成功的指导社区

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摘要

Skills underlying scientific innovation and discovery generally develop within an academic community, often beginning with a graduate mentor’s laboratory. In this paper, a network analysis of doctoral student-dissertation advisor relationships in The Academic Family Tree indicates the pattern of Nobel laureate mentoring relationships is non-random. Nobel laureates had a greater number of Nobel laureate ancestors, descendants, mentees/grandmentees, and local academic family, supporting the notion that assortative processes occur in the selection of mentors and mentees. Subnetworks composed entirely of Nobel laureates extended across as many as four generations. Several successful mentoring communities in high-level science were identified, as measured by number of Nobel laureates within the community. These communities centered on Cambridge University in the latter nineteenth century and Columbia University in the early twentieth century. The current practice of building web-based academic networks, extended to include a wider variety of measures of academic success, would allow for the identification of modern successful scientific communities and should be promoted.Electronic supplementary materialThe online version of this article (doi:10.1007/s11192-017-2364-4) contains supplementary material, which is available to authorized users.
机译:科学创新和发现的基础技能通常是在学术界内发展的,通常是从研究生导师的实验室开始。本文通过对《学术家谱》中博士研究生论文顾问关系的网络分析表明,诺贝尔奖获得者指导关系的模式是非随机的。诺贝尔奖获得者的诺贝尔奖获得者的祖先,后代,受教育者/祖父和当地学术家庭数量更多,这支持了在选择指导者和受教育者时会出现分类过程的观点。完全由诺贝尔奖获得者组成的子网延伸了多达四代。根据社区内诺贝尔奖获得者的人数来衡量,确定了几个成功的高级科学指导社区。这些社区以19世纪后期的剑桥大学和20世纪初期的哥伦比亚大学为中心。建立基于网络的学术网络的当前做法扩展到包括学术成就的各种衡量标准,这将有助于识别现代成功的科学社区,因此应予以推广。电子补充材料本文的在线版本(doi:10.1007) / s11192-017-2364-4)包含补充材料,授权用户可以使用。

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