摘要
本文尝试构建多维评价指标—P-score指标,对篇均引文分布的不同频次区间赋予不同权重,并且新的指标值融合社会网络分析的特征向量中心度计量,因此P-score指标可以在一定程度上综合体现被评价期刊的学术水平以及对知识传播的贡献力,最后对图书情报学领域的核心期刊进行了实证分析。
This paper attempts to build a multi-dimensional evaluation-P-score index,and this index gives different weights to the evaluated journals according to the citations distribution in different frequency intervals,and also the new index got an integration of the eigenvector centrality measurement from the social network analysis method.The P-score indicator can evaluate the academic journal on a comprehensive ranking to a certain extent,and also the indicator can reflect the contribution of the journal knowledge dissemination role.Finally this article made an empirical analysis of information science core journals.
出处
《情报科学》
CSSCI
北大核心
2013年第2期130-134,139,共6页
Information Science
关键词
刊评价
评价指标
特征向量
引文分析
多维测度
journal evaluation
evaluation index
eigenvector
citation analysis
multidimensional measure
