Delicacies share on the web, such as the iPeen, is a popular activity for people since it provides a convenient platform of reviews and comments for consumers. However, asymmetric information and anonymity about reviewers and commentators is vulnerable by malicious attackers or collusive participants who exploit possible cheating tricks to gain improper profits. This research tries to propose several new metrics about the trustworthiness evaluation of electronic word-of-mouth in the viewpoint of social network. Upon the social network, this research uses trust-computing to evaluate credibility of the reviewers and commentators, and then compute satisfactions to rank the stores. The supervised learning and empirical studies are performed to show the effectiveness of the proposed formula. The Pearson Correlation Coefficient shows that the ranking of the delicacies-stores by the proposed formula is more approach of the experts than the iPeen.