DIVISION OF HEPTAGONAL SOCIAL NETWORKS INTO TWO COMMUNITIES BY THE MAXIMUM LIKELIHOOD METHOD

Abstract

Our work is devoted to the study of the maximum likelihood method for dividing heptagonal social networks into two groups with opposite mentalities and views of the world. We estimated the probability of connection between users and built an adjacency matrix to apply the maximum likelihood method. The results showed that the maximum likelihood method can be an effective tool for separating heptagonal social networks into two groups. We have identified conservative and liberal groups that have opposite worldviews and mentalities. Our research can help to better understand how the mentality of these user groups affects the social dynamics in general.