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Pervasive sensing to model political opinions in face-to-face networks

Pervasive sensing to model political opinions in face-to-face networks
Pervasive sensing to model political opinions in face-to-face networks

Exposure and adoption of opinions in social networks are important questions in education, business, and government. We describe a novel application of pervasive computing based on using mobile phone sensors to measure and model the face-to-face interactions and subsequent opinion changes amongst undergraduates, during the 2008 US presidential election campaign. We find that self-reported political discussants have characteristic interaction patterns and can be predicted from sensor data. Mobile features can be used to estimate unique individual exposure to different opinions, and help discover surprising patterns of dynamic homophily related to external political events, such as election debates and election day. To our knowledge, this is the first time such dynamic homophily effects have been measured. Automatically estimated exposure explains individual opinions on election day. Finally, we report statistically significant differences in the daily activities of individuals that change political opinions versus those that do not, by modeling and discovering dominant activities using topic models. We find people who decrease their interest in politics are routinely exposed (face-to-face) to friends with little or no interest in politics.

0302-9743
214-231
Springer
Madan, Anmol
ae1f1aab-e662-44ae-87e3-dde0f7db62fc
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Gatica-Perez, Daniel
583e99b0-abef-4d2a-b54f-70ab7b498975
Pentland, Alex
086c87f7-504a-4214-94bf-de6ac050a754
Lyons, K.
Hightower, J.
Huang, E.M.
Madan, Anmol
ae1f1aab-e662-44ae-87e3-dde0f7db62fc
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Gatica-Perez, Daniel
583e99b0-abef-4d2a-b54f-70ab7b498975
Pentland, Alex
086c87f7-504a-4214-94bf-de6ac050a754
Lyons, K.
Hightower, J.
Huang, E.M.

Madan, Anmol, Farrahi, Katayoun, Gatica-Perez, Daniel and Pentland, Alex (2011) Pervasive sensing to model political opinions in face-to-face networks. Lyons, K., Hightower, J. and Huang, E.M. (eds.) In Pervasive Computing - 9th International Conference, Pervasive 2011, Proceedings. vol. 6696 LNCS, Springer. pp. 214-231 . (doi:10.1007/978-3-642-21726-5_14).

Record type: Conference or Workshop Item (Paper)

Abstract

Exposure and adoption of opinions in social networks are important questions in education, business, and government. We describe a novel application of pervasive computing based on using mobile phone sensors to measure and model the face-to-face interactions and subsequent opinion changes amongst undergraduates, during the 2008 US presidential election campaign. We find that self-reported political discussants have characteristic interaction patterns and can be predicted from sensor data. Mobile features can be used to estimate unique individual exposure to different opinions, and help discover surprising patterns of dynamic homophily related to external political events, such as election debates and election day. To our knowledge, this is the first time such dynamic homophily effects have been measured. Automatically estimated exposure explains individual opinions on election day. Finally, we report statistically significant differences in the daily activities of individuals that change political opinions versus those that do not, by modeling and discovering dominant activities using topic models. We find people who decrease their interest in politics are routinely exposed (face-to-face) to friends with little or no interest in politics.

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More information

Published date: 20 June 2011
Venue - Dates: 9th International Conference on Pervasive Computing, Pervasive 2011, United States, 2011-06-11 - 2011-06-14

Identifiers

Local EPrints ID: 430699
URI: http://eprints.soton.ac.uk/id/eprint/430699
ISSN: 0302-9743
PURE UUID: 4893d9bb-21f0-4802-87c0-27632e828dad

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Date deposited: 08 May 2019 16:30
Last modified: 07 Oct 2020 00:37

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Contributors

Author: Anmol Madan
Author: Katayoun Farrahi
Author: Daniel Gatica-Perez
Author: Alex Pentland
Editor: K. Lyons
Editor: J. Hightower
Editor: E.M. Huang

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