EVOLUTION OF ECONOMIC LINKAGE PATTERN BASED ON SOCIAL NETWORK ANALYSIS IN GUANZHONG-TIANSHUI ECONOMIC ZONE
HUANG Xin1, HUANG Xiao-jun2
1. School of Earth Science and Resources, Chang'an University, Xi'an 710054, China;
2. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China
Abstract：Urban or regional economic linkage is an important research topic in economic geography. Based on different flows such as population, goods, capital and information, complicated economic linkage network has been formed. Gravity model and social network analysis are major methods to measure the intensity of urban or regional economic linkage and spatial relationship pattern. Firstly, the paper collects traffic and socio-economic statistic data of research area in 2002 and 2012. We establish attribute and spatial dataset by ArcGIS software. Secondly, the article uses gravity model and measures intensity of urban economic linkage of Guanzhong-Tianshui Economic Zone for 2002 and 2012. Thirdly, using social network analysis method, this paper chooses some different indexes like degree, network density, centralization, clustering coefficient and betweeness centrality to measure and analyze key node, urban linkage degree, network accessibility and network structure. Main research results can be concluded as follows:1) the intensity of urban economic linkage has been enhanced constantly from 2002 to 2012 in Guanzhong-Tianshui Economic Zone. 2) The degree and clustering coefficient of regional economic linkage and urban distribution show Long-tail distribution. 3) The Guanzhong-Tianshui economic linkage network demonstrates typical core-periphery structure. 4) Some cities such as Xi'an, Baoji, Xianyang, Tianshui, Tongchuan and Weinan show high betweeness centrality and low network limits.
黄馨, 黄晓军. 基于社会网络分析方法的关中—天水经济区经济联系格局演化[J]. 人文地理, 2016, 31(2): 113-119.
HUANG Xin, HUANG Xiao-jun. EVOLUTION OF ECONOMIC LINKAGE PATTERN BASED ON SOCIAL NETWORK ANALYSIS IN GUANZHONG-TIANSHUI ECONOMIC ZONE. HUMAN GEOGRAPHY, 2016, 31(2): 113-119.
