On Human Mobility Predictability Via WLAN Logs
Cao, Paul Y.; Li, Gang; Champion, Adam C.; Xuan, Dong; Romig, Steve; Zhao, Wei; IEEE
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
AbstractIn this research, we conduct a comprehensive measurement study on the predictability of human mobility with respect to demographic differences. We leverage an extensive WLAN dataset collected on a large university campus. Specifically, our dataset includes over 41 million WLAN entries gathered from over 5,000 students (with demographic information) during a four-month period in 2015. We observed surprising patterns on large increases of long-term mobility entropy by age, and the impact of academic majors on students long-term mobility entropy. The distribution of long-term entropy follows a bimodal distribution, which is different from previous studies. We also find that the predictability of students' short-term (daily or weekly) mobility varies on different days of the week and with student gender. Because of the large campus size, our results can mimic people's mobility patterns in metropolitan areas. We also anticipate that our results will provide insight that guides academic administrators' decisions regarding facilities planning, emergency management, etc. on campus.
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Indexed ByCPCI
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000425232200291
The Source to ArticleWOS
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Cao, Paul Y.,Li, Gang,Champion, Adam C.,et al. On Human Mobility Predictability Via WLAN Logs[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017.
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