The study divides the knowledge system of university students’ innovation and entrepreneurship teams into the main system, resource system, operation system, environment system, and exchange system, constructs the synergistic mechanism model of each subsystem, and accelerates the generation of innovation results. Then, from the perspective of the knowledge ecosystem and social network, an innovation team of University M is selected as the research object to analyze the characteristics of the synergistic network of the knowledge system of the team, to find out the cohesive subgroups, structural holes, edge points, and isolation points in the network, and to validate them by using the social network analysis method. The overall network analysis yielded that the overall network centrality potential of this innovation and entrepreneurship team was 25.52%, the connection between members was not strong, the team was loose, and the knowledge-sharing activities were not active. Individual net analysis reveals that active participants in knowledge synergy activities, whether spreading knowledge or learning knowledge, play an important role in sharing knowledge within the team but can be overly dependent. The analysis of this study will help to discover the characteristics of knowledge synergy behavior of innovation and entrepreneurship teams and the factors affecting the synergy behavior, which can be used as an objective basis for improving the synergy behavior of team knowledge systems.