Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Towards controlling virus propagation in information systems with point-to-group information sharing
Decision Support Systems
Uncoverning Groups via Heterogeneous Interaction Analysis
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
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In this work, we investigate the feasibility and effectiveness of using human contact traces collected from mobile phones to derive social community information to reduce the disease propagation rate in the healthcare domain. Our trace-driven simulation results showed that our scheme is highly effective, and thus opens more opportunities for utilizing social relationships information to support healthcare related applications.