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.
DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark;DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark;DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark;DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark;Department of Anthropology, University of Copenhagen, Copenhagen, Denmark;DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark;DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark;The Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
Recommended Citation:
Arkadiusz Stopczynski,Vedran Sekara,Piotr Sapiezynski,et al. Measuring Large-Scale Social Networks with High Resolution[J]. PLOS ONE,2014-01-01,9(4)