Experiences in Measuring a Human Contact Network for Epidemiology Research
Published in Proceedings of the ACM Workshop on Hot Topics in Embedded Networked Sensors (HotEmNets), June 2010.
Abstract
This paper discusses our experience in designing and deploying a 994-node sensor network to measure the social contact network of a high school over one typical day. The system aims to capture interactions of human subjects for the study of infectious disease spread. We describe unique challenges posed by a large-scale network that is heavily affected by humans. We present techniques to address challenges such as frequent node reboots and global timestamps. The end result of the deployment is a dataset of 792 traces which can be used to calculate the school population's contact network and the rough location where interactions occurred.
BibTeX entry
@inproceedings{kazandjieva2010experiences,
author = "Maria Kazandjieva and Jung Woo Lee and Marcel Salathe and Marcus W. Feldman and James H. Jones and Philip Levis",
title = "{Experiences in Measuring a Human Contact Network for Epidemiology Research}",
booktitle = "{Proceedings of the ACM Workshop on Hot Topics in Embedded Networked Sensors (HotEmNets)}",
year = {2010},
month = {June}
}