A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to understand human activity patterns. I will discuss recent effort to explore human activity patterns, using the mobility of individuals as a proxy.

As an application, I will show that by measuring the entropy of each individual’s trajectory, we find can explore the underlying predictability of human mobility, raising fundamental questions on how predictable we really are. I will also discuss the interplay between human mobilty, social links, and the predictive power of data mining.