Discovering author impact: A PageRank perspective

Authors:
Erjia Yan;Ying Ding
Affiliations:
School of Library and Information Science, Indiana University, 1320 East 10th Street, Bloomington, IN 47405-3907, United States;School of Library and Information Science, Indiana University, 1320 East 10th Street, Bloomington, IN 47405-3907, United States
Venue:
Information Processing and Management: an International Journal
Year:
2011

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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.