Mobile E-commerce model based on social network analysis

With the development of Internet technology and the increasing popularity of mobile terminals, mobile E-commerce has become a convenient tool in our daily life. In a mobile E-commerce system, how to effectively establish and evaluate trust between seller and buyer is a hotspot. Whether a buyer knows and trusts a seller often strongly influences purchasing decisions, especially in customer-to-customer (C2C) E-commerce or second-hand exchange market. This paper proposes a social network model on the mobile E-commerce system, which can give recommendation values between buyers and sellers in terms of their social relationship, actual geographical distances and historic deal records etc. Experiment results show that the proposed model can effectively help users to make the decision whether and with whom to make a deal by using the recommendation values. In addition, the proposed model also has better security feature than the normal E-commerce system.