Abstract
In this paper, we report our data-driven investigation on measuring proximity networks derived from multiple mobile sensor data: Bluetooth, GPS, and WLAN coordinates. By exploiting the dataset from NOKIA Mobile Data Challenge 2012, we propose our methods to generate sensor data based proximity networks between mobile users and evaluate these networks with a call log network as ground truth. Our results can be useful to understand that Bluetooth, GPS, and WLAN AP are of significant sensor data to quantify the pattern and strength of proximate relation between mobile users.
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