A study on the election factors of ACM Fellow based on the co-authorship relationship

IF 0.5 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Hailing Zhou, Xiaole Li, Jin Shi (Corresponding Author), Ming Li, Lingyun Situ
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引用次数: 0

Abstract

Most of past researches on successful scientist groups focused on the winners of international top-renowned awards. ACM Fellow as an academic honor of Computing Machinery field was rarely investigated. This article focuses on the research of the relationship between Fellows’ success and their co-authorship characteristics with previous Fellows. We selected a list of ACM Advanced Member Grades from 2015 to 2020 in 4 sub-domains as the empirical object, then set relevant indicators to indicate the cooperative relationship to analyze the relationship between their cooperation with previous Fellows and whether they can successfully be awarded as Fellows according to the correlation analysis and binary logistic regression method. The results show that the existence of a cooperative relationship with the previous Fellow is indeed beneficial to the Fellow candidate's selection. The more previous Fellows a candidate works with, the better chance they have of being elected as a Fellow, but the co-growth fellows are the main factor. Moreover, during the cooperation period, the total amount of the candidates’ own publications and the more their own contributions in the cooperation, the more conducive to success. Our results reflect a possible closing of the Fellowship circle, but also correct for biases about honorary award opportunism.
基于合著关系的ACM Fellow选举因素研究
过去对成功科学家团体的研究大多集中在国际顶级奖项的获得者身上。ACM Fellow作为计算机领域的学术荣誉很少被调查。本文的重点是研究研究员的成功与他们与前任研究员的合作特征之间的关系。我们选取了2015 - 2020年4个子领域的ACM高级会员等级列表作为实证对象,然后设置相关指标来表示合作关系,根据相关分析和二元逻辑回归方法,分析其与往届fellow的合作关系以及能否成功获选fellow。结果表明,与前任研究员的合作关系的存在确实有利于研究员候选人的选择。候选人与前研究员合作越多,他们被选为研究员的机会就越大,但共同成长的研究员是主要因素。此外,在合作期间,候选人自己发表的文章总量越多,他们在合作中的贡献越大,越有利于成功。我们的研究结果反映了奖学金圈可能关闭,但也纠正了关于荣誉奖项机会主义的偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Malaysian Journal of Library & Information Science
Malaysian Journal of Library & Information Science INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
2.00
自引率
7.70%
发文量
8
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