中国物理B ›› 2026, Vol. 35 ›› Issue (1): 10506-010506.doi: 10.1088/1674-1056/ae1fe9
Jing Feng(冯靖)1, Ping Wang(王萍)2, and Changgui Gu(顾长贵)3,†
Jing Feng(冯靖)1, Ping Wang(王萍)2, and Changgui Gu(顾长贵)3,†
摘要: Text, as a fundamental carrier of human language and culture, exhibits high structural and semantic complexity. Its systematic analysis is essential for understanding linguistic patterns and cultural transmission. A Dream of Red Mansions and All Men Are Brothers, two masterpieces of Chinese classical literature, have long been central to debates regarding the authorship of their later chapters. Previous studies, often based on word-frequency statistics, function word distributions, entropy measures, and complex network analyses, have provided valuable insights into stylistic differences; however, they remain limited in capturing cross-scale structural features. To address this gap, we apply a multi-scale structural complexity approach based on character-frequency time series to analyze the structural evolution of both novels under various segmentation strategies. Our results reveal significant differences in peak complexity positions, overall complexity levels, and intra-textual variations between the two works, which are closely linked to changes in authorship and stylistic patterns. This study not only provides new quantitative evidence for resolving authorship disputes in classical literature but also demonstrates, from the perspective of structural complexity, the profound depth and unique charm of Chinese literary expression, highlighting the richness of Chinese language and culture. Moreover, it emphasizes the potential of structural complexity analysis as a versatile tool for textual analysis and style attribution.
中图分类号: (Time series analysis)