Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Interdisciplinary study on popularity prediction of social classified hot online events in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/interdisciplinary-study-on-popularity-prediction-of-social-classified-hot-online-events-in-china
MLA“Interdisciplinary study on popularity prediction of social classified hot online events in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interdisciplinary-study-on-popularity-prediction-of-social-classified-hot-online-events-in-china.
BibTeX@misc{4ortxyz_interdisciplinary-study-on-popularity-prediction-of-social-classified-hot-online-events-in-china_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interdisciplinary study on popularity prediction of social classified hot online events in China}}, year = {2026}, url = {https://4ort.xyz/entity/interdisciplinary-study-on-popularity-prediction-of-social-classified-hot-online-events-in-china}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interdisciplinary study on popularity prediction of social classified hot online events in China — https://4ort.xyz/entity/interdisciplinary-study-on-popularity-prediction-of-social-classified-hot-online-events-in-china (retrieved 2026-05-24)
