旅游流可表征地区游客需求偏好程度，是诊断识别区域旅游业发展新市场的重要手段，对区域经济高质量发展具有重要意义。以河西走廊为例，通过对携程网、去哪儿、同程网三大旅游网站游记数据挖掘，运用社会网络分析探究河西走廊旅游流网络结构特征，并针对性提出区域旅游地优化方案。结果表明：（1）河西走廊旅游流在空间分布上高度集聚，等级性较为明显。（2）旅游流网络整体上覆盖面较大但紧密程度较低且不均衡，具有明显的核心-边缘结构特征。（3）旅游流网络处于不均衡，节点具有结构洞特征。基于“点-轴”理论，根据旅游地现状和指标结果优化旅游空间格局，确定了3个等级的旅游发展点、两个等级的旅游发展轴及三大旅游地系统，构建了河西走廊“点-线-面”的旅游空间结构。

Tourism flow can characterize the degree of regional tourists' demand preference， which is an important means to diagnose and identify new markets for regional tourism development， and is of great significance to the high-quality development of regional economy.Taking the Hexi Corridor as an example， this paper uses social network analysis to explore the structural characteristics of the tourism flow network of the Hexi Corridor by mining the travel data of the three major tourism websites of Ctrip.com， Qunar and Tongcheng.com， and puts forward a regional tourism optimization plan.The results show that： （1） The tourism flow of Hexi corridor shows "high concentration and obvious hierarchy" in spatial distribution.（2） The tourism flow network has a large coverage as a whole， but the degree of tightness is low and unbalanced， and it has obvious characteristics of core-edge structure.（3） The centrality results show that the tourism flow network is unbalanced， and the nodes have the characteristics of structural holes. Based on the theory of "point-axis"， the tourism spatial pattern is optimized according to the current situation and index results of tourist areas， and three levels of tourist development points， two levels of tourist development axes and three major tourist systems are determined to construct the "point-line-surface" tourism structure of the Hexi Corridor.