China's City Network Characteristics Based on Social Network Space: An Empirical Analysis of Sina Micro-blog
Zhen Yi Feng
Abstract
Zhen Yi Feng
Abstract
The change of urban regional spatial structure influenced by information technology has become a hotspot of research at home and abroad. This study tries to analyze China's city network characteristics from the social network space perspective by using Sina microblog as an example. The result shows that China's city network based on the micro-blog social space has a clear hierarchical structure and level distinction. Firstly,the result shows the existence of regional characteristics,performance as a visible regional development pattern which contains Three Main-regions and Four Sub-regions according to the analysis of the level distinction in the city network and the connection rate between cities. Specifically speaking,the three main regions contain the Beijing-Tianjin-Hebei region represented by Beijing,Pearl River Delta region represented by Guangzhou and Shenzhen,and the Yangtze River Delta region represented by Shanghai,Hangzhou and Nanjing. The four sub-regions contain Chengdu-Chongqing region,west coast of the Taiwan Straits region represented by Fuzhou and Xiamen,Wuhan region represented by Wuhan and Changsha,Northeast China represented by Shenyang,Harbin and Changchun. Secondly,the result shows there is a significant difference of the network links among Eastern,Central and Western China. Links within Eastern China and the links between Eastern,Central and Western China constitute almost all of the current network systems. It is also found that the high-level cities have an absolute dominance in the city network pattern,and that Beijing is the contact center in China's city network,with an overwhelming advantage. Shanghai,Guangzhou and Shenzhen are the sub-contact centers in the China's city nework.
OpenAlex reports 62 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The change of urban regional spatial structure influenced by information technology has become a hotspot of research at home and abroad. This study tries to analyze China's city network characteristics from the social network space perspective by using Sina microblog as an example. The result shows that China's city network based on the micro-blog social space has a clear hierarchical structure and level distinction. Firstly,the result shows the existence of regional characteristics,performance as a visible regional development pattern which contains Three Main-regions and Four Sub-regions according to the analysis of the level distinction in the city network and the connection rate between cities. Specifically speaking,the three main regions contain the Beijing-Tianjin-Hebei region represented by Beijing,Pearl River Delta region represented by Guangzhou and Shenzhen,and the Yangtze River Delta region represented by Shanghai,Hangzhou and Nanjing. The four sub-regions contain Chengdu-Chongqing region,west coast of the Taiwan Straits region represented by Fuzhou and Xiamen,Wuhan region represented by Wuhan and Changsha,Northeast China represented by Shenyang,Harbin and Changchun. Secondly,the result shows there is a significant difference of the network links among Eastern,Central and Western China. Links within Eastern China and the links between Eastern,Central and Western China constitute almost all of the current network systems. It is also found that the high-level cities have an absolute dominance in the city network pattern,and that Beijing is the contact center in China's city network,with an overwhelming advantage. Shanghai,Guangzhou and Shenzhen are the sub-contact centers in the China's city nework.
Key concepts: China, Beijing, Geography, Dominance (genetics), Yangtze river, Social network analysis, Economic geography, Delta