Sociocentric SNA on fuzzy graph social network model

The paper presents a scalable and generalized approach to social network analysis using fuzzy graph theory. It proposes an intelligent sociocentric that calculates the degree of potential relationship finite size by proposing model. takes into account entity functional relational attributes simultaneously. computes in two steps. first step pairwise between all nodes or entities incorporating proposed node activeness index parameter with online offline communication relationship. second further uses relationships calculated calculate network. astute function utilizes weighted arithmetic geometric means entities. also weights—betweenness closeness centrality performs experimental work on small WhatsApp undergraduate students university for 6 months. Hence, networks, which may be used as global compare different networks simultaneously node's attributes.