Temporal Dynamics of User Engagement in Professional Video Communities: A Time-Series Clustering Analysis Based on Bilibili’s Legal Content

Chuchu Liu, Haorun Li, Shuyang Zhao, Xiaoqing Zeng, Xin Lu

Open source

DOI: 10.3390/e28060651
Published: 2026-06-09
Container: Entropy
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/e28060651,
  title = {Temporal Dynamics of User Engagement in Professional Video Communities: A Time-Series Clustering Analysis Based on Bilibili’s Legal Content},
  author = {Chuchu Liu and Haorun Li and Shuyang Zhao and Xiaoqing Zeng and Xin Lu},
  year = {2026},
  journal = {Entropy},
  doi = {10.3390/e28060651},
  url = {https://doi.org/10.3390/e28060651}
}

RIS

TY  - JOUR
TI  - Temporal Dynamics of User Engagement in Professional Video Communities: A Time-Series Clustering Analysis Based on Bilibili’s Legal Content
AU  - Chuchu Liu
AU  - Haorun Li
AU  - Shuyang Zhao
AU  - Xiaoqing Zeng
AU  - Xin Lu
PY  - 2026
JO  - Entropy
DO  - 10.3390/e28060651
UR  - https://doi.org/10.3390/e28060651
ER  -

APA

Liu, C., Li, H., Zhao, S., Zeng, X., & Lu, X. (2026). Temporal Dynamics of User Engagement in Professional Video Communities: A Time-Series Clustering Analysis Based on Bilibili’s Legal Content. Entropy. https://doi.org/10.3390/e28060651

Source records

crossref · retrieved 2026-09-25T04:04:02.107Z