Please use this identifier to cite or link to this item: https://doi.org/10.1073/pnas.1306440110
Title: Understanding metropolitan patterns of daily encounters
Authors: Sun, L.
Axhausen, K.W.
Lee, D.-H. 
Huang, X.
Keywords: Behavioral rhythms
Human mobility
Social networks
Social sciences
Issue Date: 2013
Source: Sun, L., Axhausen, K.W., Lee, D.-H., Huang, X. (2013). Understanding metropolitan patterns of daily encounters. Proceedings of the National Academy of Sciences of the United States of America 110 (34) : 13774-13779. ScholarBank@NUS Repository. https://doi.org/10.1073/pnas.1306440110
Abstract: Understanding of the mechanisms driving our daily face-to-face encounters is still limited; the field lacks large-scale datasets describing both individual behaviors and their collective interactions. However, here, with the help of travel smart card data, we uncover such encounter mechanisms and structures by constructing a time-resolved in-vehicle social encounter network on public buses in a city (about 5 million residents). Using a population scale dataset, we find physical encounters display reproducible temporal patterns, indicating that repeated encounters are regular and identical. On an individual scale, we find that collective regularities dominate distinct encounters' bounded nature. An individual's encounter capability is rooted in his/her daily behavioral regularity, explaining the emergence of "familiar strangers" in daily life. Strikingly, we find individuals with repeated encounters are not grouped into small communities, but become strongly connected over time, resulting in a large, but imperceptible, small-world contact network or "structure of co-presence" across the whole metropolitan area. Revealing the encounter pattern and identifying this large-scale contact network are crucial to understanding the dynamics in patterns of social acquaintances, collective human behaviors, and - particularly - disclosing the impact of human behavior on various diffusion/spreading processes.
Source Title: Proceedings of the National Academy of Sciences of the United States of America
URI: http://scholarbank.nus.edu.sg/handle/10635/59249
ISSN: 00278424
DOI: 10.1073/pnas.1306440110
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