Abstract:Abstract: In order to promote the urban network space function improvement, regional economic optimization and integrated development of Jiangsu Province, the innovation index evaluation system is constructed, and the entropy weight method is used to calculate the comprehensive capacity of cities instead of population and regional GDP data. With the help of gravity model and social network analysis method, this paper analyzes the innovation spatial correlation of 13 prefecture-level cities in Jiangsu Province, and studies the influencing factors of innovation spatial correlation of jiangsu province by using QAP regression analysis method in social network analysis.?The results show that :(1) the city at the center of the innovation network plays an active role in the whole network structure, which drives the innovation development of other cities with its own resources and advantages; (2) Cities with strong innovation capacity can form cooperation circles by means of strong cooperation, give full play to the overall coordination among innovation subjects, promote the flow of innovation resources such as technology, knowledge and information among cities, and actively guide other cities to carry out independent innovation; (3) Cities in non-central locations of innovation spatial structure should strengthen economic and cultural construction and constantly improve the innovation environment. It also puts forward some policy suggestions for innovation development in Jiangsu province, such as supporting non-central cities in innovation and talent policy, promoting the cooperation of innovation center cities, improving infrastructure, speeding up cooperation in transportation and communication, and accelerating economic development level.