@inproceedings{11044,
  keywords = {Block-chain, Blockchain, Computation theory, Cross-platform, Cultural communication entropy, Digital humanities, Digital humanity technology, Ecosystems, Entropy, Historic preservation, Intangible cultural heritages, Intelligent ecology theory, Modeling analyzes, Quantitative models, Spatio-temporal dimensions},
  author = {Qianjiang Wang and Lixian Yang},
  title = {Model Analysis of Communication Entropy of Intangible Cultural Heritage within a Smart Ecosystem Framework},
  abstract = {Based on the Intelligent Ecology Theory and Digital Humanities Technology, this study proposes Cultural Communication Entropy (CCE), a quantitative model for evaluating intangible cultural heritage (ICH) dissemination. The framework integrates spatiotemporal dimensions-open systems, nonlinear interactions, and dynamic entropy-through three core indicators: Communication Efficiency Entropy (E\textlessinf\textgreatere\textless/inf\textgreater), Information Fidelity Entropy (E\textlessinf\textgreaterf\textless/inf\textgreater), and Interaction Quality Entropy (E\textlessinf\textgreateri\textless/inf\textgreater). Empirical analysis of 5,000 official and 1,000 control videos from Douyin revealed critical patterns: (1) Exponential decay of E\textlessinf\textgreatere\textless/inf\textgreater with a 32\% acceleration post- 72 hours (attributed to platform algorithms); (2) Official content exhibited higher entropy stability (Median E\textlessinf\textgreateri\textless/inf\textgreater=1.45 vs. 1.12, Cohen s d=1.05); (3) High-entropy videos outperformed low-entropy counterparts in cross-platform sharing (23\% vs. 12\%) and cultural depth (E\textlessinf\textgreaterculture\textless/inf\textgreater=0.736 vs. 0.412). The model integrates LSTM path prediction and blockchain-enhanced fidelity optimization, validated via cross-platform API synchronization (Bilibili, r = 0.79) and blockchain-encrypted data verification.},
  pages = {1658-1662},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010183518&doi=10.1109%2FISCAIT64916.2025.11010323&partnerID=40&md5=4a36d180c0353eb05384af0f82968113},
  doi = {10.1109/ISCAIT64916.2025.11010323},
  note = {Type: Conference paper},
}