Measuring social networks using proximity sensors

Helmut H. Strey, Lilianne Mujica-Parodi, Anar Amgalan, Sergei Maslov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A significant body of research demonstrates strong connections between social connectedness, stress, and health. However, to date it is unclear whether the beneficial aspects of social connectedness are due to quantity, quality, stability, or role within the network. Here we describe a Bluetooth LE proximity sensor based on the Intel Edison that allows us to track interpersonal distances as function of time while triangulating absolute position. This enables us not only to identify the duration and frequency of social contacts, but also to determine who approaches whom - a feature that is necessary in order to establish social hierarchy structures within the group.

Original languageEnglish (US)
Title of host publication2015 12th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467378659
DOIs
StatePublished - Nov 25 2015
Event12th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2015 - Melville, United States
Duration: Oct 19 2015Oct 20 2015

Publication series

Name2015 12th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2015

Other

Other12th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2015
Country/TerritoryUnited States
CityMelville
Period10/19/1510/20/15

Keywords

  • Bluetooth Low Energy
  • proximity
  • social hierarchy
  • social interactions

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems

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