Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19.
- DOI
- 10.1007/s41109-022-00520-9
- Published
- 2023
- Container
- Applied network science
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s41109-022-00520-9,
title = {Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19.},
author = {Pirim H and Nagahi M and Larif O and Nagahisarchoghaei M and Jaradat R},
year = {2023},
journal = {Applied network science},
doi = {10.1007/s41109-022-00520-9},
url = {https://doi.org/10.1007/s41109-022-00520-9}
}RIS
TY - JOUR TI - Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19. AU - Pirim H AU - Nagahi M AU - Larif O AU - Nagahisarchoghaei M AU - Jaradat R PY - 2023 JO - Applied network science DO - 10.1007/s41109-022-00520-9 UR - https://doi.org/10.1007/s41109-022-00520-9 ER -
APA
H, P., M, N., O, L., M, N., & R, J. (2023). Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19.. Applied network science. https://doi.org/10.1007/s41109-022-00520-9
Source records
- pubmed · retrieved 2026-09-25T03:54:11.538Z