| Issue |
E3S Web Conf.
Volume 574, 2024
1st International Scientific Conference “Green Taxonomy for Sustainable Development: From Green Technologies to Green Economy” (CONGREENTAX-2024)
|
|
|---|---|---|
| Article Number | 07005 | |
| Number of page(s) | 12 | |
| Section | Organizational Aspects of Sustainable Green Development | |
| DOI | https://doi.org/10.1051/e3sconf/202457407005 | |
| Published online | 02 October 2024 | |
Interaction and Segmentation Analysis in Green Science: A Maximum Likelihood Approach
1 The Banking and Finance Academy, Tashkent, Uzbekistan
2 Tashkent State University of Economics, Tashkent, Uzbekistan
3 Kimyo International University in Tashkent (KIUT), Tashkent, Uzbekistan
4 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
* Corresponding author: jurabekusarov@gmail.com
In the context of the current environmental crisis, the importance of effective communication strategies for promoting sustainable development is undeniable. This article is devoted to the study of audience segmentation methods in green science initiatives using the Maximum Likelihood Estimation (MLE) method. The main focus is on the development of approaches that allow for more accurate and effective division of target groups, such as scientists, politicians and activists in order to maximize the influence on each of them. The study presents the results of the analysis of interactions within and between communities, which allows for the optimization of communication strategies for different audiences. The application of MLE in community segmentation emphasizes its importance for increasing the effectiveness of environmental initiatives aimed at achieving sustainable development.
Key words: Environmental sustainability / Green science / Academic collaboration / MLE
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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