Trust and Closeness: A Mixed Method for Understanding the Relationship of Social Network Users

Mutual trust among social networks users encourages positive communications, so it is critical to study in the context of online networks. In this study, we built a model calculate media users. Data was collected from Qzone (Tencent Technology Co., Ltd.), SN service (also known as QQ) China. We identified 150 QQ and 3 friends each users; data these were by Python program. The relationship between closeness constructed using an ordinary least squares regression model, factors that influence network endogenous switching model. also conducted two-stage robustness analysis confirm results. found user are positively correlated. A user’s related three indicators: comments, @s (a reminder nudge for attention), messages. Increasing has effect on formation.