Cp-index: a PageRank and H-index based centrality measure for collaboration network

被引：0

作者：

College of Continuous Education, University of Electronic Science and Technology of China, Chengdu, China ^{[1
]}

机构：

[1] College of Continuous Education, University of Electronic Science and Technology of China, Chengdu

来源：

J. Comput. Inf. Syst. | / 20卷 / 7573-7586期

关键词：

C-index; Cp-index; H-index; PageRank;

D O I：

10.12733/jcis16011

中图分类号：

学科分类号：

摘要：

Author impact evaluation is a problem which has been studied for many years. This paper proposes a new academic impact evaluation indicator (cp-index) to measure the competence of an author in academic networks. Cp-index is based on h-index, PageRank algorithm and c-index. It takes each author's paper quantity, quality and collaboration impact into account. The cp-index is compared with other indicators (publications, citations, coauthors, coauthor network based on PageRank algorithm, citation network based on PageRank algorithm, h-index and c-index) on an academic dataset which collected from Microsoft Academic Research website. The advantages and disadvantages of each indicator are discussed and the results show that cp-index evaluate authors impact in a more reasonable way. Copyright © 2015 Binary Information Press.

引用

页码：7573 / 7586

页数：13

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