Discovering Social Community Structures Based on Human Mobility Traces

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/misy/volume-2017/2190310/figures/2190310.fig.001a.svgz" name="2190310.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Number of Bluetooth-encounter traces</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/misy/volume-2017/2190310/figures/2190310.fig.001b.svgz" name="2190310.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Number of cell tower association traces</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/misy/volume-2017/2190310/figures/2190310.fig.001c.svgz" name="2190310.fig.001c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Number of participation days</td></tr></table>

<div>Number of Bluetooth-encounter traces, number of cell tower association traces, and number of participation days, in descending order, for users in MIT Reality Mining Dataset.</div>

Mobile Information Systems

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Figure 1: Discovering Social Community Structures Based on Human Mobility Traces 