PROGRESS IN GEOGRAPHY ›› 2016, Vol. 35 ›› Issue (7): 829-838.doi: 10.18306/dlkxjz.2016.07.004

• Articles • Previous Articles     Next Articles

Network structure optimization of public space in new concentrated communities based on SNA

Qingqing ZOU1, Yong WANG1,*(), Guangbin LI2   

  1. 1. School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215011,Jiangsu, China
    2. School of Geography and Resources, Suzhou University of Science and Technology, Suzhou 215011, Jiangsu, China
  • Received:2016-01-01 Revised:2016-05-01 Online:2016-07-20 Published:2016-07-20
  • Contact: Yong WANG
  • Supported by:
    Foundation: National Natural Science Foundation of China, No.51278319, No.51578352; Philosophical and Social Science Foundation of Jiangsu Province, No.2014SJB567; The Graduate Students’ Scientific Research Innovation Project of Education Department of Jiangsu Province, No.KYLX15_1306


The efficiency of public space network structure reflects the ability of communities to reconstruct their social network, to accumulate social capital, and to rebuild social order. In recent years, as a new form of living and emerging in large numbers, new concentrated communities are facing enormous pressure in reconstructing social relations. Using Social Network Analysis, this study found that: the public space network correlation degree is 0.216, central potential is 0.358, and small world business value is 1.978. These show that the overall association degree of the spatial network is insufficient and the network is fragmented; the integration effect of commercial space is affected by the configuration of businesses; and the social attributes of residents influence the characteristics of the spatial network structure. Finally, with regard to concentrated resettlement model and pubic space network optimization, the author puts forward the direction of further research of new concentrated communities, in order to provide a scientific basis for the current and future planning and development and overall optimization of public space of concentrated communities.

Key words: new concentrated community, network of public space, Social Network Analysis(SNA), quantitative analysis, Suzhou City