Co-presence Communities: Using pervasive computing to support weak social networks
Co-presence Communities: Using pervasive computing to support weak social networks
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.
Lawrence, Jamie
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Payne, Terry R.
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De Roure, David
02879140-3508-4db9-a7f4-d114421375da
2006
Lawrence, Jamie
f1ab229d-4ee6-4935-9bf9-732721f737f1
Payne, Terry R.
0bb13d45-2735-45a3-b72c-472fddbd0bb4
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Lawrence, Jamie, Payne, Terry R. and De Roure, David
(2006)
Co-presence Communities: Using pervasive computing to support weak social networks.
4th International Workshop on Distributed and Mobile Collaboration, Manchester.
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
More information
Published date: 2006
Additional Information:
Event Dates: 27th June, 2006
Venue - Dates:
4th International Workshop on Distributed and Mobile Collaboration, Manchester, 2006-06-27
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 262684
URI: http://eprints.soton.ac.uk/id/eprint/262684
PURE UUID: 1f9a18f2-2d24-404d-a37d-7655bcf1c52a
Catalogue record
Date deposited: 08 Jun 2006
Last modified: 14 Mar 2024 07:16
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Contributors
Author:
Jamie Lawrence
Author:
Terry R. Payne
Author:
David De Roure
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