Research on the collective efficacy of social networks with multi factor analysis

Abstract

With the rapid development of Internet technology, social networks have been widely used in the world, and some of them are really active and some people are just browsing. Based on this, the collective efficacy was proposed and the three element interaction determinism was studied. The similarity between social network users was calculated and integrated, and the collective efficacy was studied. 60 members of the four network groups were interviewed, and 15 influencing factors of network group efficacy were coded. 230 college students were investigated by questionnaire and the multi factor analysis method was integrated. The influence of community members’ efficacy on their community involvement was studied through the initiative, focusing on sharing information and other dependent variables, attitudes, interests, values, personality and other independent variables. The research results showed that increased awareness of the degree of interpersonal similarity will increase the degree of involvement of social network group members, and psychological involvement played an intermediary role in perceived interpersonal similarity and the increases of perceived interpersonal similarity will enhance the formation of the sense of group efficacy.