Department of Biochemistry and Biophysics,
Kavli Institute for Fundamental Neuroscience, University of California, San Francisco
The modern ability to carefully measure large-scale social networks has driven new empirical studies and theoretical models of growth, dynamics, influence, and collective behavior in such systems.
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Man has grappled with the meaning and utility of randomness for centuries. This talk describes two main aspects of the research on randomness with respect to the theory of computation, demonstrating respectively its power and weakness for making algorithms faster.