Interaction and Segmentation Analysis in Green Science: A Maximum Likelihood Approach

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.