Measuring Large-Scale Social Networks with High Resolution

Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski, Andrea Cuttone, Mette My Madsen, Jakob Eg Larsen, Sune Lehmann

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Abstract

This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and spanning multiple years-the Copenhagen Networks Study. Specifically, we collect data on face-to-face interactions, telecommunication, social networks, location, and background information (personality, demographics, health, politics) for a densely connected population of 1 000 individuals, using state-of-the-art smartphones as social sensors. Here we provide an overview of the related work and describe the motivation and research agenda driving the study. Additionally, the paper details the data-types measured, and the technical infrastructure in terms of both backend and phone software, as well as an outline of the deployment procedures. We document the participant privacy procedures and their underlying principles. The paper is concluded with early results from data analysis, illustrating the importance of multi-channel high-resolution approach to data collection.
Original languageEnglish
Article numbere95978
JournalPLOS ONE
Volume9
Issue number4
Number of pages24
ISSN1932-6203
DOIs
Publication statusPublished - 2014

Bibliographical note

Copyright: © 2014 Stopczynski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords

  • MULTIDISCIPLINARY
  • MOBILE COMMUNICATION-NETWORKS
  • PERSONALITY-TRAITS
  • DYNAMIC NETWORKS
  • PATTERNS
  • COMMUNITY
  • VALIDITY
  • PRIVACY
  • PREDICTABILITY
  • SMARTPHONES
  • RELIABILITY
  • cs.SI physics.soc-ph

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