Sensing the 'Health State' of our Society
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Pentland_Sensing the.pdf
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Author(s)
Madan, Anmol Prem Prakash
Cebrian, Manuel
Moturu, Sai T.
Farrahi, Katayoun
Pentland, Alex Paul
Date Issued
October 2012
Journal
IEEE Pervasive Computing
Publisher
Institute of Electrical and Electronics Engineers
Citation
Madan, Anoul et al. "Sensing the 'Health State' of our Society." IEEE Pervasive Computing 11, 4 (October-December 2012): 36-45.
Version
Author's final manuscript
Abstract
Mobile phones are a pervasive platform for opportunistic sensing of behaviors and opinions. We
show that location and communication sensors can be used to model individual symptoms, long-term health outcomes, and diff usion of opinions in society. For individuals, phone-based features can be used to predict changes in health, such as common colds, influenza, and stress, and automatically identify symptomatic days. For longer-term health outcomes such as obesity, we fi nd that weight changes of participants are correlated with exposure to peers who gained weight in the same period, which is in direct contrast to currently accepted theories of social contagion. Finally, as a proxy for understanding health education we examine change in political opinions during the 2008 US presidential election campaign. We discover dynamic patterns of homophily and use topic models (Latent Dirchlet Allocation) to understand the link between specfii c behaviors and changes in political opinions.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/MPRV.2011.79
