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In previous work, our results suggested that some cities tend to be ahead ofothers in their musical preferences. We concluded that work by noting that toproperly test this claim, we would try to exploit the leader-followerrelationships that we identified to make predictions. Here we present theresults of our predictive evaluation. We find that information on the pastmusical preferences in other cities allows a linear model to improve itspredictions by approx. 5% over a simple baseline. This suggests that at best,previously found leader-follower relationships are rather weak.

Measuring the Significance of the Geographic Flow of Music