On human mobility predictability via WLAN logs
| Autor: | Wei Zhao, Adam C. Champion, Steve Romig, Dong Xuan, Paul Cao, Gang Li |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Emergency management business.industry Computer science Entropy (statistical thermodynamics) education 020206 networking & telecommunications 02 engineering and technology Metropolitan area Transport engineering 03 medical and health sciences Entropy (classical thermodynamics) 030104 developmental biology 0202 electrical engineering electronic engineering information engineering Entropy (information theory) Entropy (energy dispersal) Predictability business Telecommunications Entropy (arrow of time) Entropy (order and disorder) |
| Zdroj: | INFOCOM |
| Popis: | In 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. |
| Databáze: | OpenAIRE |
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