Input-output Relevancy Network Modeling and Analysis

摘要：

From the viewpoint of complex networks, an input-output relevancy complex network model is established to describe the input-output relations among the industry departments in the national economy. The main statistical network characters including weight and strength distribution, clustering coefficient and average distance are discussed by analyzing the real data published by the National Economic Accounting Department. The results show that the input and output amounts among the departments are disequilibrium, few departments are dominant while most departments have little input between each other. This modeling and analysis propose a new way to study the economic structure and provide a basis for the governments policy making.

关键词： Complez Network Input-output Relevancy Network Weight and Strength Distribution Clustering Coefficient Average Distance

作者: Aili Fang Siying Zhang

作者单位: School of Mathematics and Information, Ludong University, Yantai 264025, China Institute of Complexity Science, Qingdao University, Qingdao 266071, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1058-1061

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）