In this study, the author collaboration network is established by taking the national social science fund papers in the field of intelligence science included in CSSCI as the data source and the paper collaboration relationship of high-yielding authors as the research object. The connection structure and influence of nodes in the network are analyzed by using the Ego-network analysis method, and the network size, intensity, density of high-yielding author ego-network and the relationship with the influence of academic influence of researchers are found out. Measures of academic influence were also validated analytically. The size of collaboration network and the strength of connection between network members of researchers are positively correlated with academic influence, and there is an inverted U-shaped relationship between network density and academic influence. Finally, this study proposes suggestions on how researchers can strengthen academic collaboration to enhance academic influence.

Collaboration in science is a complex phenomenon that affects scientific performance in various ways. Thus, understanding the influences of the research collaboration network is important for researchers. This paper explores the relationship between research collaboration network structural and scientific research performance and conducts an empirical test with data from 416 scholars. Findings revealed that network stability reduces the scholars' research performance, and network centrality promotes research performance. The network structural holes that the scholar spans, moderate the detrimental effects of network stability. This research provides suggestions for scholars to build a reasonable scientific research collaboration network to improve their research performance.