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Validation of a smartphone app to map social networks of proximity

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  • Tjeerd W Boonstra
  • Mark E Larsen
  • Samuel Townsend
  • Helen Christensen

Abstract

Social network analysis is a prominent approach to investigate interpersonal relationships. Most studies use self-report data to quantify the connections between participants and construct social networks. In recent years smartphones have been used as an alternative to map networks by assessing the proximity between participants based on Bluetooth and GPS data. While most studies have handed out specially programmed smartphones to study participants, we developed an application for iOS and Android to collect Bluetooth data from participants’ own smartphones. In this study, we compared the networks estimated with the smartphone app to those obtained from sociometric badges and self-report data. Participants (n = 21) installed the app on their phone and wore a sociometric badge during office hours. Proximity data was collected for 4 weeks. A contingency table revealed a significant association between proximity data (ϕ = 0.17, p

Suggested Citation

  • Tjeerd W Boonstra & Mark E Larsen & Samuel Townsend & Helen Christensen, 2017. "Validation of a smartphone app to map social networks of proximity," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.
    • Handle: RePEc:plo:pone00:0189877
    DOI: 10.1371/journal.pone.0189877
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