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 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 co-presence community definitions from data collected by Bluetooth-enabled mobile phones. Finally, an example application is introduced which utilises these communities for disseminating information
Published in:
Enabling Technologies: Infrastructure for Collaborative Enterprises, 2006. WETICE '06. 15th IEEE International Workshops on
Date of Conference: June 2006