A soft set theoretic approach to network complexity and a case study for Turkish Twitter users

Abstract

There are a few different angles from which to examine the question of how to determine whether social networks, which belong to the category of complex systems, are neither totally regular nor totally arbitrary. The theory of soft sets, which is a form of soft computing, is used in this study to analyze how the degree of complexity of a social network changes in response to an external stressor. By taking this strategy, conversation subjects within social networks are able to incorporate participation from more than just two individuals. This research also presents the imprecise technique using a Bayesian approach to soft modeling that is used to determine complexity. These soft sets enable complexity computations to be performed on directed networks established by Turkish Twitter users and acquired everyday during the Covid-19 stress period. This study additionally involves the forming of comparisons with the compositional and structural complexity observations of the underlying network. The findings demonstrate that the soft set techniques that were utilized in the complexity computation of the social network are both efficient and trustworthy.