Title :
Input-output relevancy network modeling and analysis
Author :
Fang, Aili ; Zhang, Siying
Author_Institution :
Sch. of Math. & Inf., Ludong Univ., Yantai, China
Abstract :
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 government´s policy making.
Keywords :
complex networks; econometrics; macroeconomics; statistical analysis; National Economic Accounting Department; clustering coefficient; complex networks; industry departments; input-output relevancy complex network modeling; national economy; statistical network characters; strength distribution; weight distribution; Complex networks; Data analysis; Electronic mail; Government; Industrial relations; Macroeconomics; Mathematics; Power generation economics; Production systems; Average Distance; Clustering Coefficient; Complex Network; Input-output Relevancy Network; Weight and Strength Distribution;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192892