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 ea...

Full description

Bibliographic Details
Main Authors: Lawrence, J, Payne, T, Roure, D
Format: Journal article
Language:English
Published: IEEE 2006
_version_ 1797050575399944192
author Lawrence, J
Payne, T
Roure, D
author_facet Lawrence, J
Payne, T
Roure, D
author_sort Lawrence, J
collection OXFORD
description 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. © 2006 IEEE.
first_indexed 2024-03-06T18:07:11Z
format Journal article
id oxford-uuid:01d2929b-7075-462b-bd24-f8dd016bfe11
institution University of Oxford
language English
last_indexed 2024-03-06T18:07:11Z
publishDate 2006
publisher IEEE
record_format dspace
spelling oxford-uuid:01d2929b-7075-462b-bd24-f8dd016bfe112022-03-26T08:37:02ZCo-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:01d2929b-7075-462b-bd24-f8dd016bfe11EnglishSymplectic Elements at OxfordIEEE2006Lawrence, JPayne, TRoure, DAlthough 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. © 2006 IEEE.
spellingShingle Lawrence, J
Payne, T
Roure, D
Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.
title Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.
title_full Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.
title_fullStr Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.
title_full_unstemmed Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.
title_short Co-Presence Communities: Using Pervasive Computing to Support Weak Social Networks.
title_sort co presence communities using pervasive computing to support weak social networks
work_keys_str_mv AT lawrencej copresencecommunitiesusingpervasivecomputingtosupportweaksocialnetworks
AT paynet copresencecommunitiesusingpervasivecomputingtosupportweaksocialnetworks
AT roured copresencecommunitiesusingpervasivecomputingtosupportweaksocialnetworks