Empirical Study on the Transmission Mechanism of Automobile Cost in Guangzhou Based on Complex Network
LIU Xiangrong1, YANG Jianmei1, SUN Hongying2, XIE Weicong1
1. School of Business Administration, South China University of Technology, Guangzhou 510640, China; 2. ZhongKai University of Agriculture and Technology, Guangzhou 510225, China
Abstract：In order to study the automobile cost transmission mechanism and strengthen cost forecasting and controlling of automotive industry, the paper transformed respectively the January 2001-November 2012 monthly price of crude oil （upstream), asbestos brake pads and auto parts（midstream), automobile sales （downstream) into symbolic sequences consisting of three characters （R, e, D) with symbolic dynamics. Monthly Symbol group is treated as nodes, connected nodes in chronological order, established automobile cost transmission synchronization complex networks of Guangzhou. The paper studied the degree distribution, the weighted clustering coefficient, average shortest path length, and community structure of network. The study found that peak intensity distribution followed the extension of exponential distribution. The average path length was 3.48, the conduction between nodes showed short-range correlation. The top 17 nodes in centrality measure play a key role of controlling the mode conversion, Major and minor nodes have a tendency to the normal node. The network is divided into three communities using Newman algorithms. The rise and decline trend play a very important role in the formation of associations.
刘向荣, 杨建梅, 孙红英, 谢伟聪. 基于复杂网络的汽车行业成本传导机制实证研究——以广州市为例[J]. 复杂系统与复杂性科学, 2014, 11(4): 29-36.
LIU Xiangrong, YANG Jianmei, SUN Hongying, XIE Weicong. Empirical Study on the Transmission Mechanism of Automobile Cost in Guangzhou Based on Complex Network[J]. Complex Systems and Complexity Science, 2014, 11(4): 29-36.
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