Abstract
The connectivity of a team is highly correlated with its performance. Connectivity is measured by the strength and number of cross-correlations among time series of the coded speech acts of meeting participants. Connectivity is used as a control parameter in a nonlinear dynamical model derived from the observed time series. Different types of attractors occur in phase space depending on the team's connectivity and performance level: low performance teams show point attractors, medium performance teams show limit cycles, and high performance teams show low-dimensional chaotic attractors.
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