Title of article
Discovering author impact: A PageRank perspective
Author/Authors
Erjia Yan ، نويسنده , , Ying Ding، نويسنده ,
Issue Information
دوماهنامه با شماره پیاپی سال 2011
Pages
10
From page
125
To page
134
Abstract
This article provides an alternative perspective for measuring author impact by applying PageRank algorithm to a coauthorship network. A weighted PageRank algorithm considering citation and coauthorship network topology is proposed. We test this algorithm under different damping factors by evaluating author impact in the informetrics research community. In addition, we also compare this weighted PageRank with the h-index, citation, and program committee (PC) membership of the International Society for Scientometrics and Informetrics (ISSI) conferences. Findings show that this weighted PageRank algorithm provides reliable results in measuring author impact.
Keywords
PageRank , Informetrics , coauthorship , Bibliometrics , NETWORK
Journal title
Information Processing and Management
Serial Year
2011
Journal title
Information Processing and Management
Record number
1229090
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