Analysis on characteristics of urban information network structure in China——A method based on denoising and directed network
This research used the newly developed tool of ICEEMDAN(improved complete ensemble empirical mode decomposition with adaptive noise)to decompose the Baidu index among 336 prefectural-level administrative units in China.Then this paper constructed directed networks to compare with undirected networks by analyzing the evolutionary characteristics of urban hierarchy structure,node asymmetry,spatial organization,and structural complexity in in-formation networks between 2014 and 2019.The results show that:① A large amount of noise interference exits in intercity Baidu search data,and noise reduction processing is necessary.Af-ter noise decomposition,the long-term trend data can better reveal the evolution characteristics of nodes.② Considering the significant asymmetry of the information network,directed net-work analysis is a more effective method than undirected network analysis to identify the differ-ence between node characteristics and their trends.③ Node degree centrality shows a dispropor-tional growth path,demonstrating growth dominance shifting from in-degree to out-degree at dif-ferent stages.④ Dominant flow analysis sheds light on two spatial organization patterns in the information network.One pattern is on the national scale,with disassortative network and scale-free network features.The other is on urban agglomerations and provincial scales and features assortative network and small-world network properties.The information network organization is a complex process,especially with the differences in long distance and geographic proximity interactions as two patterns indicate.This illustrates the characteristics of the spatial organiza-tion of two models,the Center Place Model and the Network Model,as well as the interaction be-tween cyberspace and physical space.
city networkinformation flowBaidu indexICEEMDANdirected network
NETL
NSTL
万方数据
