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Research into human dynamical systems has long sought to identify robustsignals for human behavior. We have discovered a series of social network-basedindicators that are reliable predictors of team creativity and collaborativeinnovation. We extract these signals from electronic records of interpersonalinteractions, including e-mail, and face-to-face interaction measured viasociometric badges. The first of these signals is Rotating Leadership,measuring the degree to which, over time, actors in a team vary in how centralthey are to team's communication network's structure. The second is RotatingContribution, which measures the degree to which, over time, actors in a teamvary in the ratio of communications they distribute versus receive. The thirdis Prompt Response Time, which measures, over time, the responsiveness ofactors to one another's communications. Finally, we demonstrate the predictiveutility of these signals in a variety of contexts, showing them to be robust tovarious methods of evaluating innovation.

Measuring Team Creativity Through Longitudinal Social Signals