  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.
