Detection of C2C reputation fraud activities based on neural network and SNA
基于神经网络和SNA的C2C电子商务信誉欺诈识别研究*

The C2C reputation fraud activities have seriously affected the development of C2C business in the World Wide Web. It is currently a hot research topic on how to detect reputation fraud merchants. This paper briefly introduces the principle and process of implementing social network analysis (SNA) based on transactions into building up the detection indices of C2C reputation fraud activities. With the help of LVQ neutral network, this paper successfully detects those accounts who quickly gained too much reputation through controlling many false accounts from the crawled Taiwan Yahoo accounts, which is important for the stability of C2C online business.