Tracing the Attention of Moving Citizens.
With the widespread use of mobile computing devices in contemporary society, our trajectories in the physical space and virtual world are increasingly closely connected. Using the anonymous smartphone data of 1 × 10(5) users in a major city of China, we study the interplay between online and offline human behaviors by constructing the mobility network (offline) and the attention network (online). Using the network renormalization technique, we find that they belong to two different classes: the mobility network is small-world, whereas the attention network is fractal. We then divide the city into different areas based on the features of the mobility network discovered under renormalization. Interestingly, this spatial division manifests the location-based online behaviors, for example shopping, dating, and taxi-requesting. Finally, we offer a geometric network model to help us understand the relationship between small-world and fractal networks.
Knowledge Lab, Computation Institute, University of Chicago, Chicago, IL., 60607, United States.
Lingfei
L
Wu
Computational Communication Collaboratory, School of Journalism and Communication, Nanjing University, Nanjing, 210093, P. R. China.
Cheng-Jun
CJ
Wang
D001288:Attention; D001519:Behavior; D040421:Cell Phone; D016208:Databases, Factual; D006801:Humans; D009068:Movement