Coupling human mobility and social ties
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Gonzalez_Coupling Human.pdf
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2.81 MB
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Adobe PDF
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Author(s)
Herrera-Yague, Carlos
Schneider, Christian M.
Gonzalez, Marta C.
Toole, Jameson Lawrence
Date Issued
February 2015
Journal
Journal of The Royal Society Interface
Publisher
Royal Society
Citation
Toole, Jameson L. et al. “Coupling Human Mobility and Social Ties.” Journal of The Royal Society Interface 12.105 (2015): 20141128–20141128.
Version
Author's final manuscript
Abstract
Studies using massive, passively collected data from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social media, information diffusion and organizational dynamics. More recently, these data have come tagged with geographical information, enabling studies of human mobility patterns and the science of cities. We combine these two pursuits and uncover reproducible mobility patterns among social contacts. First, we introduce measures of mobility similarity and predictability and measure them for populations of users in three large urban areas. We find individuals' visitations patterns are far more similar to and predictable by social contacts than strangers and that these measures are positively correlated with tie strength. Unsupervised clustering of hourly variations in mobility similarity identifies three categories of social ties and suggests geography is an important feature to contextualize social relationships. We find that the composition of a user's ego network in terms of the type of contacts they keep is correlated with mobility behaviour. Finally, we extend a popular mobility model to include movement choices based on social contacts and compare its ability to reproduce empirical measurements with two additional models of mobility.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1098/rsif.2014.1128
