Mobile Social Group Monitoring

Identifying communities is an important research topic in traditional as well as online social networks. A community is a densely connected group of nodes/users such that connections between communities are sparse. This project researches community detection in proximity-based mobile social networks based on their spatio-temporal contact profile, recognition of groups with similar activities such as queuing, differentiation of co-located proximity groups.

People

  • Qi Han (Faculty)
  • Qiang Li (student collaborator from Chinese Academy of Sciences)
  • Yongjian Zhao (student collaborator from Sun Yat-Sen University)

Publications

Acknowledgements

This project is supported in part by NSF grant CNS-0915574.