Musical Meetups Knowledge Graph (MMKG): A Collection of Evidence for Historical Social Network Analysis

Knowledge Graphs (KGs) have emerged as a valuable tool for supporting humanities scholars and cultural heritage organisations. In this resource paper, we present the Musical Meetups Knowledge Graph (MMKG), a collection of evidence of historical collaborations between personalities relevant to the music history domain. We illustrate how we built the KG with a hybrid methodology that, combining knowledge engineering with natural language processing, including the use of Large Language Models (LLM), machine learning, and other techniques, identifies the constituent elements of a historical meetup. MMKG is a network of historical meetups extracted from \(\sim \) 33k biographies collected from Wikipedia focused on European musical culture between 1800 and 1945. We discuss how, by providing a structured representation of social interactions, MMKG supports digital humanities applications and music historians’ research, teaching, and learning.