A new trust model for online social networks

Online social media networks play important roles for people to share opinions, communicate with others. One of important features behind these activities is trust. This paper investigates the trust model in Online social media networks. Considering the interaction between two users and the reputation in the social networks, this trust model gives a definition about the trust value between two users. The Gaussian kernel density estimation is used to describe the user's reputation among a social network. Combined with the interaction relationship, the trust model can provide more accurate trust relation prediction. Experiments on the public dataset shows the method generates high accuracy results.