论文标题
部分可观测时空混沌系统的无模型预测
Novelty and Cultural Evolution in Modern Popular Music
论文作者
论文摘要
数字音乐消费的无处不在，使我们可以提取有关现代音乐的信息，从而使我们能够对随着时间的流逝进行大规模分析。为了揭示文化进化中的潜在模式，我们研究了不同类型和样式的既定特征之间的关系，以及引发这种持续创造性进化的新颖思想的引入。为了了解这种动态如何发挥和塑造文化生态系统，我们将音乐文物与他们的同时代人进行比较，以识别新颖的文物，研究新颖性与商业成功之间的关系，并将其与我们可以观察到的音乐内容的变化联系起来。使用音乐信息检索（MIR）数据和Billboard Hot 100歌曲的歌词在1974 - 2013年之间，我们计算了每首歌曲的听觉属性和歌词的新颖得分。将这两个分数与发行后的歌曲的受欢迎程度进行比较，我们发现了新颖性和观众接待之间关系中的关键模式。此外，我们研究了新颖性与歌曲具有影响力的可能性之间的联系，而它的mir和抒情特征符合我们观察到的较大趋势。
The ubiquity of digital music consumption has made it possible to extract information about modern music that allows us to perform large scale analysis of stylistic change over time. In order to uncover underlying patterns in cultural evolution, we examine the relationship between the established characteristics of different genres and styles, and the introduction of novel ideas that fuel this ongoing creative evolution. To understand how this dynamic plays out and shapes the cultural ecosystem, we compare musical artifacts to their contemporaries to identify novel artifacts, study the relationship between novelty and commercial success, and connect this to the changes in musical content that we can observe over time. Using Music Information Retrieval (MIR) data and lyrics from Billboard Hot 100 songs between 1974-2013, we calculate a novelty score for each song's aural attributes and lyrics. Comparing both scores to the popularity of the song following its release, we uncover key patterns in the relationship between novelty and audience reception. Additionally, we look at the link between novelty and the likelihood that a song was influential given where its MIR and lyrical features fit within the larger trends we observed.
