Page ranking system inspires algorithm for predicting food webs’ vulnerability
Ecologists are taking a page, and its ranking, from Google.
A new algorithm inspired by the search engine works well for predicting which species losses will trigger the fastest collapse of a food web, says theoretical ecologist Stefano Allesina of the University of Chicago.
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