DocumentCode :
2570070
Title :
The input-output connection analysis of industry structure based on complex network theory
Author :
Fang, Aili ; Wang, Zhenling ; Zhang, Siying
Author_Institution :
Sch. of Math. & Inf., Ludong Univ., Yantai
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
4809
Lastpage :
4813
Abstract :
In order to deeply reveal the structure characters of the real weighted complex networks, the clustering and correlation measures are given and compared from the view of topological and weighted network respectively. The structure of Chinese national economics in 2002 is set as an example to illustrate. The complex network model of national economic industry departments is established, the clustering and correlation characters of this industry relation network are analyzed by the software tool MATLAB with the data coming from the input-output data published by the national economic accounting department, therefore the input-output association structure characters of the national economic departments in our country are sufficiently explored.
Keywords :
correlation methods; economic cybernetics; industries; network theory (graphs); pattern clustering; topology; clustering measure; complex network model; complex network theory; correlation measure; industry structure; input-output connection analysis; national economic industry; topological network; weighted network; Complex networks; Computer industry; Industrial economics; Industrial relations; Macroeconomics; Mathematical model; Mathematics; Nearest neighbor searches; Network topology; Power generation economics; Clustering; Complex networks; Correlation; Industry departments; Weighted networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4598242
Filename :
4598242
Link To Document :
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