地理学报 ›› 2012, Vol. 67 ›› Issue (8): 1031-1043.doi: 10.11821/xb201208003

• 城市与文化地理 • 上一篇    下一篇

基于网络社会空间的中国城市网络特征——以新浪微博为例

甄峰1,2, 王波1, 陈映雪3   

  1. 1. 南京大学建筑与城市规划学院, 南京 210093;
    2. 南京大学人文地理研究中心, 南京 210093;
    3. 南京大学地理与海洋科学学院, 南京 210093
  • 收稿日期:2012-01-08 修回日期:2012-05-22 出版日期:2012-08-20 发布日期:2012-10-11
  • 基金资助:
    国家自然科学基金项目(40971094); 中央高校基本科研业务费专项资金项目(1115090201)

China's City Network Characteristics Based on Social Network Space: An Empirical Analysis of Sina Micro-blog

ZHEN Feng1,2, WANG Bo1, CHEN Yingxue3   

  1. 1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China;
    2. Human Geography Research Center, Nanjing University, Nanjing 210093, China;
    3. College of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China
  • Received:2012-01-08 Revised:2012-05-22 Online:2012-08-20 Published:2012-10-11
  • Supported by:
    National Natural Science Foundation of China, No.40971094; The Fundamental Research Funds for the Central Universities, No.1115090201

摘要: 信息技术影响下的城市区域空间结构变化得到了国内外学者的关注。本文以新浪微博为例, 从网络社会空间的角度入手, 对中国城市网络发展特征进行了研究。研究表明:微博社会空间视角下的中国城市网络存在着明显的等级关系与层级区分, 城市的网络连接度与城市等级表现出了相对一致性。根据城市网络层级与网络联系强度, 东部、中部、西部3 大区域板块的网络联系差异明显, 东部地区内部的联系, 以及东部与中部地区和西部地区的联系几乎构成当前网络体系中的全部。城市网络呈现出分层集聚现象, 具体表现为“三大四小”发展格局, 即京津冀区域、珠三角区域、长三角区域、成渝地区、海西地区、武汉地区、东北地区。高等级城市在整个城市网络中处于绝对支配地位, 北京以突出的优势成为全国性的网络联系中心, 而上海、广州、深圳则成为全国性的网络联系副中心。

关键词: 网络社会空间, 新浪微博, 网络连接度, 中国城市网络, 特征

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.

Key words: social network space, Sina micro-blog, China’s city network, connection rate of the network, characteristics