Abstract
Purpose: The purpose of this paper is to present a prototype system that can be used to capture longitudinal socialising processes by recording people's encounters in space.
Design/methodology/approach: The paper presents the results of a longitudinal study, carried out with members of the public, which demonstrates the capabilities of the system. Findings: The findings show that community structure can be inferred from physical interactions, and that different locations exhibit varying community structures.
Originality/value: The paper argues that such a system can usefully be deployed in environments where people interact and socialise, as a mechanism for inferring the underlying network structure of those people's relationships.
Design/methodology/approach: The paper presents the results of a longitudinal study, carried out with members of the public, which demonstrates the capabilities of the system. Findings: The findings show that community structure can be inferred from physical interactions, and that different locations exhibit varying community structures.
Originality/value: The paper argues that such a system can usefully be deployed in environments where people interact and socialise, as a mechanism for inferring the underlying network structure of those people's relationships.
| Original language | English |
|---|---|
| Pages (from-to) | 423-431 |
| Number of pages | 9 |
| Journal | International Journal of Pervasive Computing and Communications |
| Volume | 6 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Nov 2010 |
Keywords
- social interaction
- social networks
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