Social Network Analysis (SNA) for Historical Research

Led by: Shu Wan

This course introduces the basic knowledge of social network analysis (SNA) to digital humanities scholars, especially historians. The course will consist of three parts. The first introduces the theory and terminology of SNA, centrality, its measurements, and other key SNA categories such as groups/subgroups, ego networks, and two-Mode networks. The second part introduces the use of SNA in historical research by reviewing the recent publication. The last part will offer a historical social network dataset for students to practice SNA research. This course will use NodeXL instead of relevant R or Python packages.