Keywords
How to Cite
Copyright (c) 2024 Joko Gunawan
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Search Relations - Article by Author(s)
- Joko Gunawan - Google Scholar | PubMed
Abstract
N/A
Total views 448 [Abstract: 208 | PDF: 240 ]
Downloads
Declaration of Conflicting Interest
The author declared no conflict of interest in this study.
Acknowledgment
None.
Author’s Contribution
This editorial was solely written by JG.
Data Availability Statement
The data analyzed in this study were available upon request.
Declaration of the Use of AI in Scientific Writing
GPT-4, integrated within InfraNodus, was utilized to generate names for the topical clusters and examine fundamental relationships among concepts. Nonetheless, the author conducted a thorough review, analysis, and editing of the content, assuming complete responsibility for the publication.
References
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
Dicks, F., Marks, T., Karafillakis, E., & Chambers, M. A. (2021). Vaccination as a control tool in bovine tuberculosis: social media monitoring to assess public response to government policy development and implementation. Vaccines, 9(4), 314. https://doi.org/10.3390/vaccines9040314
Feyissa, I. F., & Zhang, N. (2023). When unstructured big text corpus meets text network analysis: social reality conceptualization and visualization graph of big interview data of heavy drug addicts of skid row. Healthcare, 11(17), 2439. https://doi.org/10.3390/healthcare11172439
Güneri, F., & Taddei, J. (2023). From student observations to tweet data: Climate change in fake news. Applied Economics Letters, 1-6. https://doi.org/10.1080/13504851.2023.2226904
HuggingFace. (2023). nlptown/bert-base-multilingual-uncased-sentiment. https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment/tree/main
Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014). ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PloS One, 9(6), e98679. https://doi.org/10.1371/journal.pone.0098679
Kang, K. A., Han, S. J., Chun, J., & Kim, H. Y. (2021). Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis. Child Health Nursing Research, 27(3), 201-210. https://doi.org/10.4094/chnr.2021.27.3.201
Paranyushkin, D. (2011). Identifying the pathways for meaning circulation using text network analysis. Venture Fiction Practices, 2(4), 2-26.
Paranyushkin, D. (2019). InfraNodus: Generating insight using text network analysis. The World Wide Web Conference, San Fransisco, CA, USA.
Readers are able to give us their valuable feedbacks here. The comments will be reviewed by the editors and then published here. Important Note: The "Comments" related to the Galley Proof PDF must NOT be submitted via this form. Authors should submit their comments on their galley proofs only via system