This data(Weibo-ISP) is used in our paper DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data.

Rights

We have collected and processed this data in collaboration with our partners, and it is intended for academic use only. Redistribution of this data is not permitted without our explicit permission.

Data

The ISP dataset contains 325215 mobility records that cover the metropolitan area of Shanghai from April 19 to April 26 in 2016. The data contains four parts as follows

• isp # dense trajectory, you should first extract the isp.zip file before processing
• weibo # sparses trajectory
• baseLoc # location info
• poi_info.json # location info with POI

You can process these data by using codes in preprocessing, including functions, load_vids for baseLoc and poi_info.json, load_data_match_telecom for isp, and load_data_match_sparse for weibo

Citation

@inproceedings{feng2019dplink,
  title={DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data},
  author={Feng, Jie and Zhang, Mingyang and Wang, Huandong and Yang, Zeyu and Zhang, Chao and Li, Yong and Jin, Depeng},
  booktitle={The World Wide Web Conference},
  pages={459--469},
  year={2019},
  organization={ACM}
}