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MobiDis: Relationship Discovery of Mobile Users from Spatial-Temporal Trajectories

  • Xiaoou Ding
  • Hongzhi Wang
  • Jiaxuan Su
  • Aoran Xie
  • Jianzhong Li
  • Hong Gao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11158)

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.

Keywords

Mobile data Spatial-temporal trajectories Relationship discovery 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Xiaoou Ding
    • 1
  • Hongzhi Wang
    • 1
  • Jiaxuan Su
    • 1
  • Aoran Xie
    • 1
  • Jianzhong Li
    • 1
  • Hong Gao
    • 1
  1. 1.Harbin Institute of TechnologyHarbinChina

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