Applying weighted PageRank to author citation networks

Authors:
Ying Ding
Affiliations:
School of Library and Information Science, Indiana University, 1320 East 10th Street, Herman B Wells Library, LI025, Bloomington, IN 47405
Venue:
Journal of the American Society for Information Science and Technology
Year:
2011

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Abstract

This article 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. 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 was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures. © 2011 Wiley Periodicals, Inc.