%0 Journal Article
%T 基于特征因子算法改进的作者影响力评价研究<br>An Evaluation Research of Author Influence Based on the Improvement of the Eigen-factor Algorithm
%A 马瑞敏
%A 韩小林
%J 重庆大学学报社会科学版
%D 2015
%R 10.11835/j.issn.1008-5831.2015.02.014
%X 特征因子算法是评价期刊质量的一种重要方法,文章在特征因子算法基础上通过改进构造出一种作者影响力评价的新算法。首先对特征因子算法原理进行简单介绍。然后通过分析作者引用相较期刊引用的特殊性,对特征因子算法进行了改进,并对其实现步骤进行了详细说明。最后,选择国内图情学作者引用网络进行应用研究,得到了这些作者的影响力排名,并与传统的被引次数进行了比较。<br>The Eigen-factor algorithm is an important method for journal quality evaluation. This paper constructs a new algorithm to evaluate the author influence based on the improvement of the Eigen-factor algorithm. This paper first introduces the basic principle of the Eigen-factor algorithm, and then improves the Eigen-factor algorithm by analyzing the particularity of author citation compared with journal citation. Next it introduces the basic steps of the new algorithm. Finally it makes an empirical research based on author citation network of library and information science in China and the ranking of the authors is obtained. At the same time, the ranking result is compared with traditional citation counts.
%K 作者影响力
%K 特征因子算法
%K 改进&lt
%K br&gt
%K author influence
%K eigen-factor algorithm
%K improvement
%U http://qks.cqu.edu.cn/cqdxskcn/ch/reader/view_abstract.aspx?file_no=201502015&flag=1