Abstract
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.
Cite
CITATION STYLE
Barabási, A. L. (2011). Human dynamics: From human mobility to predictability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6911 LNAI, p. 3). Springer Verlag. https://doi.org/10.1007/978-3-642-23780-5_2
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