With the pervasion of social media, trust, as the basis of human interactions, has been playing an important role in addressing information sharing, experience communication, and public opinions. However, trust is a complex and abstract concept influenced by many factors, and it is difficult to identify the inducing factors and analyze the formation mechanism. Recognizing that social theories from social sciences are helpful to explain social phenomena, and social networks reflect user correlations in real world, this paper investigatethes trust prediction problem from the perspective of social science, and constructs trust prediction model by studying the disciplines of trust relations occurring and developing based on social status theory and homophily theory. Firstly, it gives a brief introduction to social status theory and homophily theory, and verifies the existence of social status theory and homophily theory in social networks. Then, it proposes social status regularization and homophily regularization according to the effects of social status theory and homophily theory in predicting trust relations. Lastly, it models trust prediction by incorporating non-negative matrix tri-factorization, social status theory and homophily theory, and establishes trust prediction model SocialTrust. Experimental results demonstratethe effectiveness of the proposed method in trust prediction with a higher accuracy than other baseline methods.