arXiv:0901.2640physics.soc-ph2009-01-17

Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks

Sergei Maslov, S. Redner

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Abstract

We review our recent work on applying the Google PageRank algorithm to find scientific "gems" among all Physical Review publications, and its extension to CiteRank, to find currently popular research directions. These metrics provide a meaningful extension to traditionally-used importance measures, such as the number of citations and journal impact factor. We also point out some pitfalls of over-relying on quantitative metrics to evaluate scientific quality.

arXiv comments: 3 pages, 1 figure, invited comment for the Journal of Neuroscience. The arxiv version is microscopically different from the published version
Journal reference: Journal of Neuroscience 28, 11103 (2008)
DOI: doi:10.1523/JNEUROSCI.0002-08.2008
Subjects: physics.soc-phPhysics and Society physics.data-anData Analysis, Statistics and Probability

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Using PageRank to assess scientific importance Jan 20091 comment
- This article is describing more recent work by Maslov and Redner, announced just in the last week or two: http://arxiv.org/abs/0901.2640
  
  michael_nielsenJan 27, 2009View on HN Parent context

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