• 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