Inferring social networks from physical interactions: A feasibility study

Vassilis Kostakos, Panos A. Kostakos

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)


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.
Original languageEnglish
Pages (from-to)423-431
Number of pages9
JournalInternational Journal of Pervasive Computing and Communications
Issue number4
Publication statusPublished - Nov 2010


  • social interaction
  • social networks


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