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Inferring Communities of Medieval Music Manuscripts Using Stochastic Block Models Cover

Inferring Communities of Medieval Music Manuscripts Using Stochastic Block Models

By: Tim Eipert and  Fabian C. Moss  
Open Access
|Feb 2026

Abstract

What can we learn from the content of surviving medieval music manuscripts about their cultural context? Our study maps the spread of so‑called trope elements (textual– musical insertions into Gregorian chant) in manuscripts across medieval central Europe, specifically the Carolingian Empire and the Italian Peninsula, from the 9th to the 14th century. Using a nested stochastic block model, we infer groupings from the bipartite network of trope element occurrences in manuscripts. We identify three cohesive manuscript groups that align with the geographical borders established by the Treaty of Verdun in 843 CE. This correspondence indicates that the post‑Verdun political boundaries both channeled and limited musical exchange, along with possibly cultural transmission more broadly. Our results demonstrate how data‑driven methods can be used to evaluate assertions in prior historical work empirically. Fitting sophisticated network models to large, high‑quality datasets yields a bird’s‑eye view that integrates statistical precision with scholarly interpretability, illustrating the power of computational methods for historical musicology.

DOI: https://doi.org/10.5334/tismir.298 | Journal eISSN: 2514-3298
Language: English
Submitted on: Jun 26, 2025
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Accepted on: Jan 31, 2026
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Published on: Feb 26, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Tim Eipert, Fabian C. Moss, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.