Modeling the Interplay of Time, Space, Users, Topics, and Sentiment: A Novel Analytical Framework for Social Media Data Analysis.

Gui W, Dong X, Wang C, Chen S, Zhang W

DOI: 10.3390/bs16101876
Published: 2026 Oct 12
Container: Behavioral sciences (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bs16101876,
  title = {Modeling the Interplay of Time, Space, Users, Topics, and Sentiment: A Novel Analytical Framework for Social Media Data Analysis.},
  author = {Gui W and Dong X and Wang C and Chen S and Zhang W},
  year = {2026},
  journal = {Behavioral sciences (Basel, Switzerland)},
  doi = {10.3390/bs16101876},
  url = {https://doi.org/10.3390/bs16101876}
}

RIS

TY  - JOUR
TI  - Modeling the Interplay of Time, Space, Users, Topics, and Sentiment: A Novel Analytical Framework for Social Media Data Analysis.
AU  - Gui W
AU  - Dong X
AU  - Wang C
AU  - Chen S
AU  - Zhang W
PY  - 2026
JO  - Behavioral sciences (Basel, Switzerland)
DO  - 10.3390/bs16101876
UR  - https://doi.org/10.3390/bs16101876
ER  -

APA

W, G., X, D., C, W., S, C., & W, Z. (2026). Modeling the Interplay of Time, Space, Users, Topics, and Sentiment: A Novel Analytical Framework for Social Media Data Analysis.. Behavioral sciences (Basel, Switzerland). https://doi.org/10.3390/bs16101876

Source records

pubmed · retrieved 2026-11-10T07:13:38.502Z