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.