• DocumentCode
    8173
  • Title

    A Network Evolution Model for Chinese Traditional Acquaintance Networks

  • Author

    Xi Chen ; Lan Zhang ; Wei Li

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    29
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    5
  • Lastpage
    13
  • Abstract
    The evolution model of Chinese traditional acquaintance relationship networks described in this article emphasizes individual heterogeneity and social culture. The model incorporates three distinct mechanisms that affect acquaintance network evolution and formation: heredity linking, variation linking, and similarity-based disconnection. The authors found that the degree distribution of Chinese traditional acquaintance networks is manifested in a piecewise approximation that combines a power-law form with an exponential cutoff and exponential distribution. Numerical results indicate that individuals maintaining a medium amount of connections far outweigh others, reflecting the characteristics of Guanxi-centered society. The formation of acquaintance relationship networks is greatly affected by the special Chinese kinship culture. The authors´ findings are supported by sociological statistical conclusions and offer a rational explanation for the nature of Chinese kinship networks. Their work provides an adequate framework for further research on dynamic human complex behaviors such as epidemic spreading and rumor propagation.
  • Keywords
    approximation theory; exponential distribution; social sciences computing; Chinese kinship culture; Chinese kinship networks; Chinese traditional acquaintance relationship networks; Guanxi-centered society; acquaintance network evolution; acquaintance network formation; degree distribution; dynamic human complex behaviors; epidemic spreading; exponential cutoff; exponential distribution; heredity linking; individual heterogeneity; network evolution model; piecewise approximation; power-law form; rumor propagation; similarity-based disconnection; social culture; sociological statistical conclusions; variation linking; China; Educational institutions; Electronic mail; Numerical models; Social network services; Chinese traditional acquaintance networks; Guanxi; heredity linking; intelligent systems; network evolution model; variation linking;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2013.125
  • Filename
    6678357