ANR-Lab seminar 'Historical Networks: On the Experience of Creating Structured Data and Its Network Analysis'

Network analysis methods are a valuable tool for studying historical social interactions. The most famous examples include Florentine families during the Italian Renaissance or the relationships between businesses in Scotland in the early 20th century. This paper will present a new dataset based on A. N. Bokhanov's consolidated reference book, "The Business Elite of Russia in 1914," which focuses on entrepreneurs and joint-stock companies operating in the Russian Empire at that time. Methodologically, the paper combines traditional digital humanities and network analysis techniques. After LLM-assisted entity extraction, normalization, and manual verification, a bipartite graph linking organizations and entrepreneurs was obtained. Distributions by vertex degrees are shown, standard centrality metrics are calculated, assortativity of vertices by various individual characteristics is calculated, and community identification is performed. The main goal of this paper is to create an open database for further quantitative and qualitative research.  

Seminar language: Russian  

Registration is required to participate.