分析热门歌曲的音乐符号如何在网络社区中生成传播。
Unpacking Musical Symbolism in Online Communities: Content-Based and Network-Centric Approaches
- 融合音频分析与歌词网络结构，构建可复现的研究流程
- 能量值十年下降21点，舞曲性上升14点，情绪峰值在2013年
- 揭示主流音乐中人际指称词主导、不同风格情绪差异显著
本文结合基于内容的音乐分析与轻量级歌词网络视角，研究在线社区中音乐符号的生成与传播。基于包含275首热门歌曲的语料库，附带音频特征（能量、舞曲性、响度、现场感、情感倾向、声学性、语音性、流行度）和完整歌词文本，构建可复现的分析流程：(i) 量化声学属性的时间趋势，(ii) 建模词汇显著性与共现关系，(iii) 按流派进行情绪画像。结果显示，能量值从79降至58，舞曲性从59升至73；情感倾向在2013年达峰值63，2014–2016年跌至42后部分恢复。相关性分析显示能量与响度强相关（r=0.74），与声学性负相关（r=-0.54）；舞曲性与其他特征关联弱（|r|<0.20）。歌词分词产生超11.4万词条，凸显“我/你/我的”等人称代词主导的词汇结构，人际指称构成主流叙事锚点。按风格划分，R&B情绪均值最高（96），其次为K-Pop/Pop（77）、Indie/Pop（70），拉丁/雷鬼顿虽舞曲性强但情绪低（37）。从亚文化认同视角看，这些模式反映边缘符号主流化，商业偏好节奏感强而强度适中的作品以维持集体参与。方法上，提出整合MIR与网络分析的工作流，涵盖统计汇总、相关结构、词汇共现矩阵及流派情绪画像，对模态稀疏具鲁棒性，适用于社会感知推荐或社区扩散研究。
原文摘要 · Abstract (English)
This paper examines how musical symbolism is produced and circulated in online communities by combining content-based music analysis with a lightweight network perspective on lyrics. Using a curated corpus of 275 chart-topping songs enriched with audio descriptors (energy, danceability, loudness, liveness, valence, acousticness, speechiness, popularity) and full lyric transcripts, we build a reproducible pipeline that (i) quantifies temporal trends in sonic attributes, (ii) models lexical salience and co-occurrence, and (iii) profiles mood by genre. We find a decade-long decline in energy (79 -> 58) alongside a rise in danceability (59 -> 73); valence peaks in 2013 (63) and dips in 2014-2016 (42) before partially recovering. Correlation analysis shows strong coupling of energy with loudness (r = 0.74) and negative associations for acousticness with both energy (r = -0.54) and loudness (r = -0.51); danceability is largely orthogonal to other features (|r| < 0.20). Lyric tokenization (>114k tokens) reveals a pronoun-centric lexicon "I/you/me/my" and a dense co-occurrence structure in which interpersonal address anchors mainstream narratives. Mood differs systematically by style: R&B exhibits the highest mean valence (96), followed by K-Pop/Pop (77) and Indie/Pop (70), whereas Latin/Reggaeton is lower (37) despite high danceability. Read through a subcultural identity lens, these patterns suggest the mainstreaming of previously peripheral codes and a commercial preference for relaxed yet rhythmically engaging productions that sustain collective participation without maximal intensity. Methodologically, we contribute an integrated MIR-plus-network workflow spanning summary statistics, correlation structure, lexical co-occurrence matrices, and genre-wise mood profiling that is robust to modality sparsity and suitable for socially aware recommendation or community-level diffusion studies.
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