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<p>Embroidery is an important cultural heritage that traces the origins of Chinese civilization over five thousand years. Embroidery patterns function as cultural genes characterized by relative stability, inheritance, and variability. Excavating their intrinsic co-occurrence relationships and features can reveal underlying cultural transmission and evolution. By constructing a temporal multilayer network of embroidery pattern co-occurrence, we analyze intra-layer and inter-layer topological properties, identify key pattern nodes, and employ a link clustering algorithm for community detection. The key findings are as follows: (1) The pattern co-occurrence network exhibits scale-free and small-world properties. (2) The pattern co-occurrence network possesses a community structure with divisible and re-combinable functions. (3) The ‘Fu-Shou’ (fortune-longevity) patterns are the most representative cultural memory symbols of the Qing Dynasty. (4) The fluctuations in network topological properties and pattern node strength centrality are inherently linked to the transitions in social culture and political power.</p>

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Research on the co-occurrence feature mining of the Qing Dynasty embroidery patterns based on temporal multilayer networks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月3日

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  • Yu Zhang,
  • Haiying Zhao,
  • Lin Qi,
  • Jian Zhang,
  • Tian Zhang

摘要

Embroidery is an important cultural heritage that traces the origins of Chinese civilization over five thousand years. Embroidery patterns function as cultural genes characterized by relative stability, inheritance, and variability. Excavating their intrinsic co-occurrence relationships and features can reveal underlying cultural transmission and evolution. By constructing a temporal multilayer network of embroidery pattern co-occurrence, we analyze intra-layer and inter-layer topological properties, identify key pattern nodes, and employ a link clustering algorithm for community detection. The key findings are as follows: (1) The pattern co-occurrence network exhibits scale-free and small-world properties. (2) The pattern co-occurrence network possesses a community structure with divisible and re-combinable functions. (3) The ‘Fu-Shou’ (fortune-longevity) patterns are the most representative cultural memory symbols of the Qing Dynasty. (4) The fluctuations in network topological properties and pattern node strength centrality are inherently linked to the transitions in social culture and political power.