Applying weighted PageRank to author citation networks

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.

• Publication year

  2011

• Venue

  J. Assoc. Inf. Sci. Technol.

• Publication date

  2011-02-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1002/ASI.21452arXiv 1102.1760
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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