Network Analysis: Methods and Applications

This lecture introduces network analysis as a method to study relationships between entities, focusing on building networks, centrality measures, and clustering. It explores operationalizing concepts in literary studies, quantifying narrative spaces, and applying network analysis to historical data. The lecture emphasizes the importance of case studies, the specificity of historical social networks, and the challenges of treating time in historical networks. It discusses community detection, multiplex networks, and the limitations of social network analysis in capturing meanings and contexts.