The Use of Centrality Measures in Scientific Evaluation: A Coauthorship Network Analysis

被引：0

作者：

Yan, Erjia ^{[1
]}

Ding, Ying ^{[1
]}

机构：

[1] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA

来源：

PROCEEDINGS OF ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOL 2 | 2009年 / 2卷

关键词：

BETWEENNESS CENTRALITY; SOCIAL NETWORK; COLLABORATION; PUBLICATIONS; CITATIONS; PAGERANK; LIBRARY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article studies micro-level properties of a coauthorship network with the aim to apply centrality measures to impact analysis. Using coauthorship data from 16 journals in the field of library and information science (LIS) with a time span of 20 years (1988-2007), we construct an evolving coauthorship network and calculate four measures (closeness centrality, betweenness centrality, degree centrality, and PageRank) for authors in this network. We find that the four measures are significantly correlated with citation counts. We also discuss the usability of centrality measures in author ranking and suggest that centrality measures can be useful indicators for impact analysis.

引用

页码：561 / 570

页数：10

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