To research the issue of multiple fund assistance such as joint assistance, co-finance, several and repetitive assistance, the correlative network is established based on the fund assistance data of social science dissertations of China which are embodied by SSCI. Using SNA and multivariate statistical analysis, this article discusses the intensity and correlation coefficient of multiple fund assistance and analyzes cohesive subgroup, structure and multi-dimension of the network. Studies show that 61.1 percent of social science dissertations are supported by multiple fund assistance and a center is formed with the core of National Natural Science Foundation. That promoting the cooperative and sustaining fund of scientific research and improving the fluency of information and personnel quality is an effective way to improve the utilization of fund resources.