情报杂志Issue(2)：69-72,78,5.DOI:10.3969/j.issn.1002-1965.2015.02.012
图灵奖得主识别与预测研究--基于多文献计量指标和支持向量机
Study on the Identifiability and Predictability of Turing Award Winners Based on Multiple Bibliometric Indicators and Support Vector Machine
唐川 1唐卷 2房俊民 1刘春江1
作者信息
- 1. 中国科学院成都文献情报中心 成都 610041
- 2. 中国科学院成都计算机应用研究所 成都 610041
- 折叠
摘要
Abstract
Researchers have explored the use of bibliometric indicators to identify and predict the winners of some prominent science a-wards. Previous work mainly employed some preliminary bibliometrics and statistics, lacking coverage of bibliometric indicators and depth of analysis. In order to investigate the identifiability and predictability of Turing Award winners, 20 bibliometric indicators about 33 Turing Award winners and 300 non-Turing Award winners were analyzed. A classification and prediction analysis was conducted with the biblio-metric indicators and data by support vector machine( SVM) in two different scenarios. The result indicated that a classification model could be developed based on bibilometric indicators to identify the Turing Award winners with a high precision. However, the prediction precision appeared medium.关键词
图灵奖/文献计量指标/支持向量机Key words
Turing Award/bibliometric indicators/support vector machine分类
社会科学引用本文复制引用
唐川,唐卷,房俊民,刘春江..图灵奖得主识别与预测研究--基于多文献计量指标和支持向量机[J].情报杂志,2015,(2):69-72,78,5.
