A Network Evolution Model for Chinese Traditional Acquaintance Networks

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.

[1]  Ronald R. Robel Xiaotong Fei, From the Soil: The Foundations of Chinese Society , 1997 .

[2]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[3]  Steffen Staab,et al.  Social Networks Applied , 2005, IEEE Intell. Syst..

[4]  Chung-Yuan Huang,et al.  Effects of friend-making resources/costs and remembering on acquaintance networks , 2010 .

[5]  Yadong Luo,et al.  Guanxi and organizational dynamics: organizational networking in Chinese firms , 2001 .

[6]  Aristides Gionis,et al.  Learning and Predicting the Evolution of Social Networks , 2010, IEEE Intelligent Systems.

[7]  A. Barabasi,et al.  Bose-Einstein condensation in complex networks. , 2000, Physical review letters.

[8]  A. Arenas,et al.  Models of social networks based on social distance attachment. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Wang Zheng,et al.  From the Soil: The Foundations of Chinese Society (Xiangtu Zhongguo). , 1994 .

[10]  John K. Fairbank United States and China , 1948 .

[11]  M Girvan,et al.  Structure of growing social networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[13]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[14]  Chao C. Chen,et al.  On the Intricacies of the Chinese Guanxi: A Process Model of Guanxi Development , 2004 .

[15]  Stefan Bornholdt,et al.  Emergence of a small world from local interactions: modeling acquaintance networks. , 2002, Physical review letters.