<p>The ancient Chinese literati society is a dynamic and complex social network based on ties of consanguinity, master-apprentice relationships, and cultural relationships through artwork-centered social events, such as exchanges of calligraphy and painting, letters, etc. In this paper, we present a visual analysis system for literati social network LSN-VA, which provides a set of intuitive visual designs to support interactive exploratory analysis of the dynamic ancient Chinese literati social network and its spatial-temporal evolution. An ancient Chinese literati dataset is first built by merging four historical sources and augmented using a large language model. And then a new dynamic social network modeling method is proposed to automatically infer the relationship and influence of ancient Chinese literati. Finally, we conducted two case studies and one user study to demonstrate the effectiveness of our system.</p> Graphical abstract <p></p>