Characterizing mobility or contact patterns in a campus environment is of interest for a
variety of reasons. Existing studies of these patterns can be classified into two basic …

This paper1 presents a novel framework called UIM2, which collects both location
information and ad hoc contacts of the human movement at the University of Illinois campus …

We derive an empirical model for spatial registration patterns of mobile users as they move
within a campus wireless local area network (WLAN) environment and register at different …

In this paper we analyze wireless LAN (WLAN) traces collected from four different sources,
including three university campus WLANs and one corporate WLAN to compare the …

We conduct the most comprehensive study of WLAN traces to date. Measurements collected
from four major university campuses are analyzed with the aim of developing fundamental …

Wireless local-area networks are becoming increasingly popular. They are commonplace on
university campuses and inside corporations, and they have started to appear in public …

Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

In this paper, we analyze multiple wireless LAN (WLAN) traces from university and corporate
campuses. In particular, we consider important events between mobile nodes in wireless …

Mining patterns of human behavior from large-scale mobile phone data has potential to
understand certain phenomena in society. The study of such human-centric massive …

We examined records of minute-by-minute computer activity coupled with information about
the location of the activity, online calendar appointments, and e-mail activity. We present a …