Higher-Order Network Representation of J. S. Bach's Solo Violin Sonatas and Partitas: Topological and Geometrical Explorations
Dima Mrad, Sara Najem

TL;DR
This paper introduces a topological framework using higher-order networks to analyze J. S. Bach's Solo Violin Sonatas and Partitas, capturing complex musical interactions beyond traditional dyadic models.
Contribution
It presents a novel higher-order network approach that models multi-note interactions and transitions, revealing geometric and topological signatures in Bach's compositions.
Findings
Identifies genre-specific topological patterns
Reveals evolution of Euler characteristic and curvature
Distinguishes movement types through topological signatures
Abstract
Music is inherently complex, with structures and interactions that unfold across multiple layers. Complex networks have emerged as powerful structures for the quantitative analysis of Western classical music, revealing significant features of its harmonic and structural organization. Although notable works have used these approaches to study music, dyadic representations of interactions fall short in conveying the underlying complexity and depth. In recent years, the limitations of traditional graph representations have been questioned and challenged in the context of interactions that could be higher-dimensional. Effective musical analysis requires models that capture higher-order interactions and a framework that simultaneously captures transitions between them. Subsequently, in this paper, we present a topological framework for analyzing J. S. Bach's Solo Violin Sonatas and Partitas…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Neuroscience and Music Perception · Musicology and Musical Analysis
