Abstract
The popularity of smartphones and the advances in location-acquisition technologies witness the development in the research of human mobility. This demo shows a relationship-discovery system of mobile users from their spatio-temporal trajectories. The system first matches all the access device IDs to places of interest (POI) on the map, and then finds out the access device IDs visited by more than one phone frequently or regularly. For these users, a model of historical spatio-temporal trajectories analysis combined with web browsing behavior is proposed to discover the relationship among them. A large-scale real-life mobile data set has been used in constructing the system, the performance of which is evaluated to be effective, efficient and user-friendly.
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Ding, X., Wang, H., Su, J., Xie, A., Li, J., Gao, H. (2018). MobiDis: Relationship Discovery of Mobile Users from Spatial-Temporal Trajectories. In: Woo, C., Lu, J., Li, Z., Ling, T., Li, G., Lee, M. (eds) Advances in Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11158. Springer, Cham. https://doi.org/10.1007/978-3-030-01391-2_3
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DOI: https://doi.org/10.1007/978-3-030-01391-2_3
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