Applying weighted PageRank to author citation networks
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Journal of the American Society for Information Science and Technology
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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.
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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
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