通过纵向社会信号测量团队创造力
Measuring Team Creativity Through Longitudinal Social Signals
摘要：
对人类动力系统的研究长期以来一直试图识别人类行为的鲁棒信号。我们发现了一系列基于社交网络的指标，这些指标是团队创造力和协作创新的可靠预测指标。我们从人际互动的电子记录中提取这些信号，包括电子邮件，以及通过社会计量徽章测量的面对面互动。第一个信号是轮换领导，衡量随着时间的推移，团队中的参与者在团队沟通网络结构中的中心地位有多大程度的变化。第二个是旋转贡献，它衡量团队中的参与者随着时间的推移，他们分发与接收的通信比例的变化程度。第三个是即时响应时间，它衡量一段时间内参与者对彼此通信的响应。最后，我们展示了这些信号在各种情况下的预测效用，表明它们对各种评估创新的方法具有鲁棒性。
英文摘要：
Research into human dynamical systems has long sought to identify robust signals for human behavior. We have discovered a series of social network-based indicators that are reliable predictors of team creativity and collaborative innovation. We extract these signals from electronic records of interpersonal interactions, including e-mail, and face-to-face interaction measured via sociometric badges. The first of these signals is Rotating Leadership, measuring the degree to which, over time, actors in a team vary in how central they are to team's communication network's structure. The second is Rotating Contribution, which measures the degree to which, over time, actors in a team vary in the ratio of communications they distribute versus receive. The third is Prompt Response Time, which measures, over time, the responsiveness of actors to one another's communications. Finally, we demonstrate the predictive utility of these signals in a variety of contexts, showing them to be robust to various methods of evaluating innovation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
