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.
- Qi Han (Faculty)
- Qiang Li (student collaborator from Chinese Academy of Sciences)
- Yongjian Zhao (student collaborator from Sun Yat-Sen University)
- Qiang Li, Qi Han, Limin Sun, Collaborative Recognition of Queuing Behavior on Mobile Phones, IEEE Transactions on Mobile Computing (TMC), Vol. 15, No. 1, 2016
- Huihui Chen, Bin Guo, Zhiwen Yu, Qi Han, Toward Real-time and Cooperative Mobile Visual Sensing and Sharing, Proceedings of IEEE International Conference on Computer Communicatios (INFOCOM), San Francisco, CA, April 2016
- He Du, Zhiwen Yu, Fei Yi, Zhu Wang, Qi Han, Bin Guo, Group Mobility Classification and Structure Recognition Using Mobile Devices, Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), Sydney, Australia, March 2016
- Na Yu, Yongjian Zhao, Qi Han, Weiping Zhu, Hejun Wu, Identification of Partitions in a Homogeneous Activity Group Using Mobile Devices, Mobile Information Systems, vol. 2016, 14 pages, 2016
- Yongjian Zhao, Qi Han, Spatial Crowdsourcing: Current State and Future Directions, IEEE Communications Magazine, Feature Topic on Social and Mobile Solutions in Ad Hoc and Sensor Networking, Vol. 54, No. 7, 2016
- Na Yu, Qi Han, Context-Aware Community Construction in Proximity-Based Mobile Networks, Mobile Information Systems, vol. 2015, 2015
- Kevin Emergy, Taylor Sallee, Qi Han, Worker Selection for Reliably Crowdsourcing Location Dependent Tasks, Proceedings of International Conference on Mobile Computing, Applications and Services (MobiCASE), Berlin, Germany, November 2015
- Qiang Li, Qi Han, Xiuzhen Cheng, Limin Sun, QueueSense: Collaborative Recognition of Queuing on Mobile Phones, SECON 2014
- Qiang Li, Qi Han, Limin Sun, UserIntent: Detection of User Intent for Triggering Smartphone Sensing Applications, Poster paper, SECON 2014
- Hui Wen, Qiang Li, Qi Han, Shiming Ge, Limin Sun, Poster: Crowdsourcing for Video Traffic Surveillance, poster paper, MobiSys 2014
- Na Yu and Qi Han, Grace: Recognition of Proximity-Based Intentional Groups using Collaborative Mobile Devices, IEEE International Conference on Mobile and Ad-hoc Sensor Systems (MASS), Philadelphia, Pennsylvania, October 2014.
- Qiang Li, Qi Han, and Limin Sun, Context-aware Handoff on Smartphones, IEEE International Conference on Mobile and Ad-hoc Sensor Systems (MASS), Hangzhou, Zhejiang, China, October, 2013.
- Na Yu and Qi Han, Context-aware Community: Integrating Contexts with Contacts for Proximity-based Mobile Social Networking, IEEE International COnference on Distributed Computing in Sensor Systems (DCOSS), Cambridge, Massachusetts, May 21-23, 2013.
- Na Yu and Qi Han, Context-Aware Communities and Their Impact on Information Influence in Mobile Social Networks, Third International Workshop on Pervasive Collaboration and Social Networking (PerCol), in conjunction with PerCom, Lugano, Switzerland, March 2012.
- Na Yu and Qi Han, Group Enabled Spatial Dissemination in Mobile Social Networks, First International Workshop on Internet of Things Applications (IoT), in conjunction with CPSWeek, Beijing, China, April 2012.
This project is supported in part by NSF grant CNS-0915574.