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Selection of Academic Influence Evaluation Index of Network Science and Technology Articles
Received date: 2012-09-28
Revised date: 2012-12-05
Online published: 2013-02-05
The influence evaluation effect of network science and technology articles depends on the selection of evaluation index variable. Firstly, this paper associates influence evaluation of science and technology articles with their ranking in popular open-access journal databases. It takes mathematics articles from the WOS database as sample, and respectively selects ten articles from the top six ranking groups which are 0.01%、0.01%-0.1%、0.1%-1%、1%-10%、10%-20% and 20%-50%. With literature information method, 28 different features are extracted from each of these articles from three aspects of the article content, the journal publishing articles, and the authors. Then it takes the ranking level of 324 articles and 28 academic link indexes as the sample, to study the "ordinal regression model". Secondly, with Lasso method, based on the variable selection and parameter estimation of 28 academic link indexes, it obtains 9 features that are considered to be the basic characteristics indexes to evaluate academic influence of network science and technology articles. Thirdly, based on the ranking level of 418 OA articles, and the selection of 20 network influence measurement indexes and its derivative variable, this paper gets 5 evaluation indexes of network transmission and utilization of impact. Finally, this paper generalizes 14 academic influence evaluation indexes of network science and technology articles.
Shen Xiaoling , Yan Weizhong . Selection of Academic Influence Evaluation Index of Network Science and Technology Articles[J]. Library and Information Service, 2013 , 57(03) : 69 -77 . DOI: 10.7536/j.issn.0252-3116.2013.03.014
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