# The algorithmic nature of song-sequencing: statistical regularities in music albums

arXiv: https://arxiv.org/abs/2408.04383 · HTML: https://mlsanity.com/paper/2408.04383/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Aug 2024.

## Built on by (most cited first, 1 of 1)

- [Automatic Album Sequencing](https://mlsanity.com/paper/2411.07772/) (2024)

## Abstract (arXiv)

Based on a review of anecdotal beliefs, we explored patterns of track-sequencing within professional music albums. We found that songs with high levels of valence, energy and loudness are more likely to be positioned at the beginning of each album. We also found that transitions between consecutive tracks tend to alternate between increases and decreases of valence and energy. These findings were used to build a system which automates the process of album-sequencing. Our results and hypothesis have both practical and theoretical applications. Practically, sequencing regularities can be used to inform playlist generation systems. Theoretically, we show weak to moderate support for the idea that music is perceived in both global and local contexts.