Discovering author impact: A PageRank perspective

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Date

2011-01

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Information Processing and Management

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https://hdl.handle.net/2022/9971

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.

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Keywords

network, coauthorship, bibliometrics, informetrics, PageRank

Citation

Yan, E., & Ding, Y. (2011). Discovering author impact: A PageRank perspectives. Information Processing and Management, 47(1), 125-134.

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Faculty Peer Reviewed Papers