Evidence map›Paper›PMID 42352160›Full record

ArticleEntropy (Basel, Switzerland)2026

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

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chuchu LiuSchool of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China.ORCID 0000-0001-9424-8266
Haorun LiSchool of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China.
Shuyang ZhaoSchool of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China.
Xiaoqing ZengSchool of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China.ORCID 0000-0002-8654-7335
Xin LuCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China.ORCID 0000-0002-3547-6493

Funding

Humanities and.Social.Sciences Research Project of the Ministry of Education 24YJC630128National Natural Science Foundation of China 72401039Natural Science Foundation of Human Province 2024JJ6069
6 · The paper itself

Abstract

Presently, video communities such as YouTube, bilibili and TikTok have emerged as core fields for information dissemination and public opinion generation. Their embedded user dynamic interaction data support research on public cognitive behavior and content dissemination laws. This study used web crawling technology to construct a complete dataset including 367 video metadata and 2.39 million comment records from

Indexed as

comment evolutionpattern discoverytime-series clusteringuser engagementvideo community

Identifiers

PMID42352160
PMCPMC13298549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.