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