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Can Smartphone Co-locations Detect Friendship? It Depends How You Model It

7 August 2020
M. Malik
Afsaneh Doryab
Michael Merrill
J. Pfeffer
A. Dey
ArXiv (abs)PDFHTML
Abstract

We present a study to detect friendship, its strength, and its change from smartphone location data collectedamong members of a fraternity. We extract a rich set of co-location features and build classifiers that detectfriendships and close friendship at 30% above a random baseline. We design cross-validation schema to testour model performance in specific application settings, finding it robust to seeing new dyads and to temporalvariance.

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