Integrated twitter analysis to distinguish systems thinkers at various levels: a case study of COVID-19
- DOI
- 10.1007/s41109-022-00520-9
- Published
- 2023-02-17
- Container
- Applied Network Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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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 = {Harun Pirim and Morteza Nagahi and Oumaima Larif and Mohammad Nagahisarchoghaei and Raed Jaradat},
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 - Harun Pirim AU - Morteza Nagahi AU - Oumaima Larif AU - Mohammad Nagahisarchoghaei AU - Raed Jaradat 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
Pirim, H., Nagahi, M., Larif, O., Nagahisarchoghaei, M., & Jaradat, R. (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
- crossref · retrieved 2026-11-10T10:44:44.865Z