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Co-presence Communities: Using pervasive computing to support weak social networks

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
f1ab229d-4ee6-4935-9bf9-732721f737f1
Payne, Terry R.
0bb13d45-2735-45a3-b72c-472fddbd0bb4
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
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.

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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
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

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 ORCID iD

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