社会网络视角下长三角城市旅游经济空间差异

以长三角16个城市为例，通过修正后的引力模型构建旅游经济联系网络，运用社会网络分析方法对网络进行定量分析，进一步对长三角旅游经济空间差异的原因进行分析。长三角城市旅游经济联系网络的密度为0.533，规模为128，直径为3，网络密度处于中等水平。上海（舟山、台州）在中心度指数、权力指数、结构洞水平、核心度等指标上得分处于优势（劣势）地位，位于整个网络的核心（边缘）。空间自相关分析表明，各城市旅游业空间聚类态势与网络特征呈现出很强的正相关性，各城市在网络中相对位置的优劣，对城市旅游经济的发展将产生重大影响。社会网络分析方法能够揭示区域旅游经济发展差异的内部机理，为研究区域旅游空间差异提供新的视角。

Spatial Differences of Tourism Economy in Yangtze River Delta from the Perspective of Social Network

This paper uses a revised gravity model to build tourism economy relationship network of 16 cities in the Yangtze River Delta, and uses the method of SNA to analyze the network and explain the reason of their spatial differences. The density of the tourism economy relationship network of the Yangtze Delta is 0.533, the size is 128, and the diameter is 3. The density of the network is at a middle level. The results of the analysis of centrality, power index, structural holes, and core-periphery degree show that Shanghai has the highest scores, being the core zone of the network, while Zhoushan and Taizhou have low scores, being the periphery zone of the network. The analysis of spatial autocorrelation shows that the spatial clustering trend has a strong positive correlation with network characteristics, the position of each city in the network is very important, which can have a great influence on the development of its tourism economy. Social network analysis can reveal the internal mechanism of regional tourism development differentiation; and can provide a new perspective for analysis of the regional tourism differentiation.