Uzzi and Jones—along with their colleagues Satyam Mukherjee and Mike Stringer—wrote an algorithm to evaluate the 17.9 million papers. By examining how many different ideas each study contained, whether those ideas had been mentioned together previously, and if the papers were popular or ignored, their program could rate each paper’s novelty. Then they could look to see if the most creative papers shared any traits.
