DocumentCode :
3446405
Title :
A research on complex network of Chinese interprovincial migration based on the fifth population census
Author :
Shang Dong ; Yingxia Pu ; Yaping Wang
Author_Institution :
Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
fYear :
2013
fDate :
20-22 June 2013
Firstpage :
1
Lastpage :
4
Abstract :
Based on complex network analysis methods, this paper uses the fifth census data and 2005 national 1% population sample survey data to preliminarily compare and analyse the structure characteristics and network complexity of Chinese interprovincial migration network. We calculate three network indices of complex network model: centrality degree, clustering coefficient, and dispersion. We estimate whether or not Chinese interprovincial migration network has complex network characteristics. The results show: (1) Chinese interprovincial migration network has a certain complex network characteristics; (2) The destinations of migration usually concentrate in the eastern coastal areas, and the origins of migration usually concentrate in the central areas, while population mobility of the western areas is low; (3) A few “hub” nodes, such as Beijing, Guangzhou, and so on support Chinese interprovincial migration network; (4) The distribution between degrees and province number has “long tail” distribution characteristics, Chinese interprovincial migration network is a scale-free network.
Keywords :
complex networks; demography; network theory (graphs); Beijing; Chinese interprovincial migration network; Guangzhou; centrality degree; clustering coefficient; complex network analysis methods; complex network characteristics; dispersion; eastern coastal areas; fifth population census data; hub nodes; long tail distribution characteristics; national population sample survey data; network complexity; network indices; population mobility; province number; scale-free network; structure characteristics; Complex networks; Dispersion; Economics; Entropy; Indexes; Sociology; Statistics; complex network model; migration network; network indices; scale-free;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
ISSN :
2161-024X
Type :
conf
DOI :
10.1109/Geoinformatics.2013.6626129
Filename :
6626129
Link To Document :
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