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.
—Bluetooth, GPS, proximity network, WLAN AP.
Dae Wook Kim and Mehmet M. Dalkilic are with the School of Informatics and Computing, Indiana University, Bloomington, IN47405 U.S.A. (e-mail: daewkim@ cs.indiana.edu).
Cite: Dae Wook Kim and Mehmet M. Dalkilic, "Analysis of Proximity Networks from Multiple Mobile Sensor Data," International Journal of Future Computer and Communication
vol. 2, no. 3 pp. 155-159, 2013.