考虑人类流动行为的动态复杂网络研究

The network model of mobile agents with the human mobility

现实的复杂网络往往具有动态的结构特征.考虑人类流动行为的特点,提出一种随机行走网络模型对人类流动网络进行模拟研究.从度分布、聚类系数、最短路径距离以及位移分布等方面对该模型进行模拟分析,结果表明,该动态复杂网络度分布服从泊松分布,呈现随机网络特征;当通信半径大于某一较小数值时,具有高的聚类系数和短的平均路径长度,呈现小世界网络特征;而位移分布则满足幂律分布,这一结论与近年来人们对人类流动行为的实证研究结果相符合.

Based on the research of the human mobilety patterns, a random-walker network model is used to explain the empirical results on the networks of mobile agents, and shows a possible evolution mechanism of these networks. The simulation results show that the degree distribution of this network takes Poisson distribution, and it exhibits the small-world behavior. Moreover, we present a numerical investigation on the displacements of the mobile agents, and find that the distribution of displacements takes power-law. Our numerical results are in good agreement with the empirical results on the human travel from the trajectories of human bank notes.