Knowledge Lab, Computation Institute, University of Chicago, Chicago, IL., 60607, United States.
Computational Communication Collaboratory, School of Journalism and Communication, Nanjing University, Nanjing, 210093, P. R. China.
Sci Rep. 2016 Sep 9;6:33103. doi: 10.1038/srep33103.
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.
随着移动计算设备在当代社会的广泛应用，我们在物理空间和虚拟世界中的轨迹越来越紧密地交织在一起。我们使用中国一个主要城市的 1×10(5)名匿名智能手机用户的数据，通过构建移动性网络（线下）和注意力网络（线上）来研究线上和线下人类行为的相互作用。利用网络重整化技术，我们发现它们属于两个不同的类别：移动性网络是小世界的，而注意力网络是分形的。然后，我们根据重整化过程中发现的移动性网络特征将城市划分为不同的区域。有趣的是，这种空间划分表现出基于位置的在线行为，例如购物、约会和叫车。最后，我们提出了一个几何网络模型来帮助我们理解小世界和分形网络之间的关系。
