Tourism destination networks have been the key field of tourism destination studies. They refer to certain network structures of the industrial sectors, organizations, governments, residents and tourists et al., that focus on the tourism activities inside or outside of destination, which is attached by some relations. The relations are built on tourism value chain, which contain tourist flow, capitals, information, technologies, products et al. The relations may be horizontal or vertical, formal or informal, short or long. Thus, the networks could be the lens of destination development, how the tourism destination network evolved is vital to understand the multiple actors in the destination to be a complex, pluralistic, intersectional and overlapping destination tourism industry system. Based on the theories of resort lifecycle and social network, this article takes MT. Hungshan Scenic Area and Tangkou Town (the tourist reception center of MT. Huangshan) as the subjects. After defining and classifying the actors and relations, collecting data from various sources, this paper analyzes the changes of networks and the impact effect in MT. Hungshan Scenic Area and Tangkou Town, and divides their development process into 5 stages, which are Temple management models, Foreign affairs and the hospitality model, Government leading development model, Stock enterprise management model, Multi-actors community participation model, and then draws and analyzes the characters of the network structures, and then tries to reveal the process and mechanics of destination network evolution. It points out that the networks have been going through a series of 'no connection networks', 'government-sponsored star-shaped networks', 'government and community double-drive networks' and 'multi levels elements networks that the communities participated extensively', as the strengthening of communities power in the future, this paper proclaims that the Huangshan tourism destination network would enter into an era of community-sponsored destination networks, and the capacity of sustainable development has been further enhanced. In addition, this paper assigns the evolution of the networks to the life-cycle stages, policy and planning adjustment, location and transport, local culture and path dependence.