中文摘要：

要：以云南省目的地网络为例,基于社会网络分析视角和方法,收集团队线路报价单和自助游客网络游记,构建旅游线路整体网和个体网评价指标体系,探讨其网络结构与空间结构特征。结果发现：①云南旅游线路网络密度较低,发展不均衡,存在明显的核心—边缘结构;昆明居绝对核心地位,大理、丽江、西双版纳、迪庆、保山具有一定的网络竞争优势,其余目的地网络地位较低。②线路网络空间分布呈现＂西密东疏、北密南疏＂的整体特征,空间流向表现为对热点旅游线路节点明显的集聚特性。③每个个体网节点之间依托旅游线路关系都可形成一个独立闭合的回路,方便旅游者依据各个体网结构特征结合节点具体的地理位置,选择合适的门户、中转和离境目的地。

英文摘要：

After 30 years of development, the tourism industry in Yunnan province, is in a critical period of the construction of tourism economy, and is experiencing the rapid development process. In order to promote the sustainable development of regional tourism industry in Yunnan province, this paper discusses the characteristics of spatial network structure for the travel itinerary in Yunnan province, based on the perspective of social network analysis and two aspects of whole network and ego-network. Two different types of travel itineraries data are used in our research, which included travel quotations from national top 100 travel agen- cies in china and self-help tourists＇ diaries on the Mafengwo and Tuniu website. The results show that the network of the itinerary in Yunnan province is unbalanced and its density is low. In addition, the characteristics of core-periphery structure exist obviously in the network. As the capital of Yunnan province, Kunming city occupies the absolute core position in the network. Dali, Lijiang, Xishuangbanna, Diqing and Baoshan cities have competitive advantages in the network. The rest of the destination cities just have low status in the net- work of Yunnan province. Meanwhile, the spatial distribution characteristics of the travel itinerary network in Yunnan province reveal that destination cities are closely connected in the western and the northem region while destination cities contact less in the east and the south. Therefore this spatial itinerary distribution leads to the concentration to the popular destination nodes. Finally, each nodes of travel itinerary can form an independent closed loop based on the relationships among the ego-network in Yunnan province, which is convenient for tourists to select the appropriate gateway destination, transit destination and departure destination according to the ego-networks＇ characteristics and the nodes＇ geographic location.