Google's PageRank Predicts Nobel Prize Winners
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."
Let's see, so far, computer models have failed to accurately manage loan portfolios to higher risk buyers, failed to manage risk books for hedge funds, could not capture currency trading, can't predict the weather and are probably wrong about climate. Sure, let's have them predict nobel prize winners while we are at it!
This is my sig.