Development Framework for Mobile Social Applications
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
SniffMob: inferring human contact patterns using wireless devices
Proceedings of the 1st ACM International Workshop on Hot Topics of Planet-Scale Mobility Measurements
Using co-presence communities to enhance social recommendation
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
A collection-oriented framework for social applications
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
Collaborative filtering based on opportunistic information sharing in mobile ad-hoc networks
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
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Although the strongest social relationships feature most prominently in our lives, we also maintain a multitude of much weaker connections: the distant colleagues that we share a coffee with in the afternoon; the waitress at a our regular sandwich bar; or the "familiar stranger' we meet each morning on the way to work. These are all examples of weak relationships which have a strong spatial-temporal component but with few support systems available. This paper explores the idea of "Co-presence Communities' - a probabilistic definition of groups that are regularly collocated together - and how they might be used to support weak social networks. An algorithm is presented for mining the Copresence Community definitions from data collected by Bluetooth-enabled mobile phones. Finally, an example application is introduced which utilises these communities for disseminating information.