Human Dynamics: From Human Mobility to Predictability
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
Text
Barabási. "Human Dynamics: From Human Mobility to Predictability." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011. doi:10.1007/978-3-642-23780-5_2Markdown
[Barabási. "Human Dynamics: From Human Mobility to Predictability." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.](https://mlanthology.org/ecmlpkdd/2011/barabasi2011ecmlpkdd-human/) doi:10.1007/978-3-642-23780-5_2BibTeX
@inproceedings{barabasi2011ecmlpkdd-human,
title = {{Human Dynamics: From Human Mobility to Predictability}},
author = {Barabási, Albert-László},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2011},
pages = {3},
doi = {10.1007/978-3-642-23780-5_2},
url = {https://mlanthology.org/ecmlpkdd/2011/barabasi2011ecmlpkdd-human/}
}