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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-08-01
摘要
We recently introduced the concept of dynamical score 網絡 to represent the harmonic progressions in any composition. Through a process of chord slicing, we obtain a representation of the score as a complex 網絡, where every chord is a node and each progression (voice leading) links successive chords. In this paper, we use this representation to extract quantitative 資訊 about harmonic complexity from the analysis of the topology of these 網絡s using state-of-the-art 統計 mechanics techniques. Since complex 網絡s support the communication of 資訊 by encoding the structure of allowed messages, we can quantify the 資訊 associated with locating specific addresses through the measure of the 熵 of such 網絡. In doing so, we then characterize properties of 網絡 topology, such as the degree distribution of a graph or
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