A NEW MODEL FOR CREATING DIGITAL AVATARS OF APPLICANTS BASED ON SOCIAL MEDIA DATA

Abstract

A thorough digital picture of our world has been created as a result of the information environment's rapid growth, which has completely changed how we view and interact with reality. This revolutionary advancement has created opportunities for precise quantitative evaluation of the online social milieu. In this study, we sought to learn more about the online information background of college students who actively participate in extracurricular and academic activities regarded as very valuable by their individual institutions. To accomplish our goal, we created a sophisticated algorithm that can evaluate how closely an applicant's information background vector resembles that of the current student group. We want to uncover possible university candidate accounts on the VK social network by using this cutting-edge analytic technology, thereby improving the effectiveness of the admissions process. In addition to being a priceless tool for evaluating the digital world, our mathematical approach to processing internet data shows potential for reaching other socially relevant goals. This approach unlocks novel opportunities for creating tools that can effectively evaluate the digital landscape, offering substantial benefits across diverse fields. By leveraging the power of mathematical evaluation, we can make informed decisions, gain insights, and drive progress in this increasingly interconnected world. In addition, this mathematical evaluation could also lead to informed decision-making, drive progress, and facilitate advancements in a wide range of socially significant endeavors within the rapidly evolving information environment.