Abstract:Based on China"s regional input-output data from 2007 to 2017, this paper uses the modified gravity model to measure and identify the spatial correlation of China"s digital economic output, and uses social network analysis (SNA) and quadratic assignment procedure (QAP) to make an empirical analysis on the spatial characteristics and influencing factors of China"s digital economic growth. The results show that: in the sample period, the overall network structure of China"s digital economic output spatial correlation is stable, the density and correlation degree are improved, and the "center periphery" structure is significant. According to the location of different provinces and cities in the network, the network is divided into four parts: two-way spillover, net spillover, net income and economic man. The output spatial correlation of digital economy is affected by consumption level, industrial structure, digital infrastructure, digital governance level, opening level, and the relative difference of mobile digital equipment. Finally, this paper puts forward some suggestions, such as accelerating the construction of digital infrastructure, promoting the digital transformation of industry, and cultivating digital quality.