Title
Inferring Social Networks From Physical Interactions: A Feasibility Study
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.
Year
DOI
Venue
2008
10.1108/17427371011097622
INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS
Keywords
Field
DocType
Social networks, Social interaction
Social relation,Longitudinal study,Community structure,Social network,Computer science,Originality,Human–computer interaction,Network structure
Journal
Volume
Issue
ISSN
6
4
1742-7371
Citations 
PageRank 
References 
1
0.40
0
Authors
2
Name
Order
Citations
PageRank
Vassilis Kostakos11718138.50
Panos A. Kostakos254.88