Abstract: Taking Xiamen as an example, the tourism flow information is extracted from other province self-help travellers of Ctrip, and the social network analysis and QAP correlation analysis are used to study the structure and formation mechanism of urban self-help network. The main conclusions are as follows: nodes of urban self-help tour in Xiamen demonstrate extreme disequilibrium affected by time and economic cost factors. The core edge analysis further indicates that there are seven nodes in the "core area" such as Gulangyu and Xiamen University, which are closely linked to each other and the distance between the nodes is close to each other, and the agglomeration effect is formed. The seven nodes of tour form strong attraction for outside province tourists. The nodes in the marginal such as Fangte Fantasy kingdom and Tongan Cinema City ,are subordinate choices for tourist. The nodes in the marginal area are gathered, which shows that distance friction effects the choice of tour routes in developed traffic system of Xiamen. QAP correlation analysis shows that the formation of Xiamen self-help tourism flow is not significant with the distance between the external transportation facilities and the hotel, and has a strong correlation with the public accessibility of the node and the visibility and concentration of tourism resources. In order to improve the equilibrium of the nodes,Reduce time and economic cost，enhance the nodes tour efficiency, perfect early warning mechanism, exploit complementarily of tourism product among different regions is necessary.

摘要： 从省外自助游客发表在携程网上的厦门游记中提取旅游流信息，运用社会网络分析和QAP相关分析对城市自助游网络结构特征及形成机制进行研究。结果表明：在时间、经济等多重制约因素的影响下，厦门旅游节点呈现高度的不均衡性，处于核心区域的7个节点间彼此联系密切，且节点间的距离较近，形成高度集聚效应，对省外自助游客形成了“刚性”吸引力，其他边缘区旅游产品是第二选择；边缘区节点“抱团”现象也很普遍，无论是节点较为密集的环岛路还是岛外的节点群，说明即便在交通体系已经很发达的厦门，距离摩擦对于游客游览路线的选择均起到一定影响；QAP相关分析得出旅游流的形成与距离对外交通设施和酒店的远近相关性不显著，与节点的公共交通通达性、网络知名度及节点的集聚程度有显著的相关性；针对岛内外节点应采取不同的策略来降低时间和经济成本，提高核心节点游览效率，完善预警机制，同时挖掘岛内外旅游产品的互补性，从而实现旅游空间的相对均衡。