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Submission + - Google's PageRank Predicts Nobel Prize Winners ( 1

KentuckyFC writes: "The pattern of citations between scientific papers forms a network that has remarkable similarities to the network formed by the web. So why not use Google's PageRank, the world's most effective search algorithm to rank these papers in the same way it ranks websites? That's exactly what a couple of US researchers have done for physics papers published by the American Physical Society since 1893 (abstract). The results make interesting reading because almost all of the top ten papers resulted in (or were linked to) Nobel Prizes for their authors. Which means that studying the up-and-coming entries on the list ought to be a good way of predicting future winners. Better get your bets in before the bookies get wind of this."
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Google's PageRank Predicts Nobel Prize Winners

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  • If one thinks about research and publication; and why it's done, it would seem that Google's page ranks would necessarily reflect more cutting edge research, as well as the more controversial. Both are going to be cited more often.

    What this paper does though is point out some level of quantification. Due to the number of citations, I suspect that it would be difficult for someone to manipulate the data; simply too much stuff to cause a significant change in the statistics.

Adding manpower to a late software project makes it later. -- F. Brooks, "The Mythical Man-Month"