中文摘要：

以中国重要旅游城市——杭州为例,通过网络爬虫技术搜集互联网旅游出行数据,结合GIS空间分析方法和社会网络分析手段,研究了杭州市旅游流的空间网络特征,并分析这些特征产生的原因.研究表明：杭州市各景点趋于聚集分布,主要集中在市中心附近区域;西湖等景点中心度较高,在整体网络中处于最重要的地位;旅游流网络中心势偏高,说明景点间中心度差异明显,客流量分布不均;杭州市区旅游流网络总体密度偏低,有较大的提升空间.

英文摘要：

Taking Hangzhou,an important coastal tourist city,as a case study,this paper collected the tourist data on the internet using Web crawler,and analyzed the spatial network pattern of tourist flows of Hangzhou by means of GIS spatial analysis and social network analysis.Results showed that：（1）Distribution of the scenic spot in Hangzhou tended to aggregate,and mainly clustered in the downtown area.（2）The centrality of West Lake and some other scenic spots were higher,which took very important position in the whole network.（3）Centralization of the network was rather high,which showed that there was significant difference in the centrality between the scenic spots and the distribution of tourist flow volume.（4）The density of the tourist flow network in urban area of Hangzhou was low,and needed to be improved.