Abstract: As the most active Yangtze river delta region in China, the characteristics and rules of population flow are undoubtedly representative. Based on the dynamic data of mobile population in 2015 and the data of Baidu migration in 2015, the conceptual model of degree, center degree, clustering coefficient and average path length in complex network analysis is introduced. The GISnetwork analysis and Gephi network data visualization analysis software were used to analyze the complex network of population movement in PanYangtze River Delta. Research shows that: (1) The complex network of the PanYangtze River Delta population with “small world effect” and “scalefree features” has been formed. (2) the network has obvious level characteristics, formed in Shanghai, Suzhou, Hangzhou, Nanjing as the center of the “one main three” multicore network. Shanghai, southern Jiangsu, and northeastern Zhejiang, and the degree of association is relatively high. The network in the southwest of Anhui and northern Anhui is strong, but the degree of association is low. The population movement network of northern and central Jiangsu, central and southern Anhui is weak, the degree of association is low. (3) Inflow population is “Z” and “M” type space distribution pattern in Pan Yangtze River Delta. Shanghai is always the population “net” inflow state, Jiangsu Province, the flow of population into the regionbased, Zhejiang Province, the main flow into the province, Anhui Province is a net population outflow of the province. On the one hand, the study is helpful to summarize the characteristics of population mobility in developed areas and enrich the theory of population migration. On the other hand, it also provides theoretical reference for scientifically judging the trend of population movement in the PanYangtze River Delta and realizing the orderly flow of population to promote regional sustainable and healthy development