  Human behaviors exhibit ubiquitous correlations in many aspects, such as
individual and collective levels, temporal and spatial dimensions, content,
social and geographical layers. With rich Internet data of online behaviors
becoming available, it attracts academic interests to explore human mobility
similarity from the perspective of social network proximity. Existent analysis
shows a strong correlation between online social proximity and offline mobility
similari- ty, namely, mobile records between friends are significantly more
similar than between strangers, and those between friends with common neighbors
are even more similar. We argue the importance of the number and diversity of
com- mon friends, with a counter intuitive finding that the number of common
friends has no positive impact on mobility similarity while the diversity plays
a key role, disagreeing with previous studies. Our analysis provides a novel
view for better understanding the coupling between human online and offline
behaviors, and will help model and predict human behaviors based on social
proximity.
