Discovering author impact: A PageRank perspective

Ding, Ying; Yan, Erjia

Discovering author impact: A PageRank perspective

dc.contributor.author	Ding, Ying
dc.contributor.author	Yan, Erjia
dc.date.accessioned	2011-01-25T13:31:29Z
dc.date.available	2011-01-25T13:31:29Z
dc.date.issued	2011-01
dc.description.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.	en
dc.identifier.citation	Yan, E., & Ding, Y. (2011). Discovering author impact: A PageRank perspectives. Information Processing and Management, 47(1), 125-134.	en
dc.identifier.uri	https://hdl.handle.net/2022/9971
dc.language.iso	en_US	en
dc.publisher	Information Processing and Management	en
dc.subject	network	en
dc.subject	coauthorship	en
dc.subject	bibliometrics	en
dc.subject	informetrics	en
dc.subject	PageRank	en
dc.title	Discovering author impact: A PageRank perspective	en
dc.type	Article	en

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