Applying weighted PageRank to author citation networks

Ding, Ying

Applying weighted PageRank to author citation networks

dc.contributor.author	Ding, Ying
dc.date.accessioned	2011-02-09T15:07:34Z
dc.date.available	2011-02-09T15:07:34Z
dc.date.issued	2011-02
dc.description.abstract	This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval (IR) was selected as a test field and data from 1956-2008 were collected from Web of Science (WOS). Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal Component Analysis (PCA) was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures.	en
dc.identifier.citation	Ding, Y. (2011), Applying weighted PageRank to author citation networks. Journal of the American Society for Information Science and Technology, 62: 236–245. doi: 10.1002/asi.21452	en
dc.identifier.uri	https://hdl.handle.net/2022/12931
dc.language.iso	en_US	en
dc.publisher	Journal of the American Society for Information Science and Technology	en
dc.title	Applying weighted PageRank to author citation networks	en
dc.type	Article	en

Files

Original bundle

Now showing 1 - 1 of 1

Name:: PPmeasure.pdf
Size:: 344.23 KB
Format:: Adobe Portable Document Format

Download

Collections

Faculty Peer Reviewed Papers

Can’t use the file because of accessibility barriers? Contact us with the title of the item, permanent link, and specifics of your accommodation need.