Online Shopping Of Virtual Community Network Analyses Based On Snm

At present, many company join in the network market for competition. In the case, virtual community shopping has become an important place for people to buy. with the characteristics of anonymity, open, space-time crossing and low controlled, the Internet had large difference compared with traditional media, and the management of web opinion came out to be quite important. As the discipline of the spread of virtual community was deeply hide in the wide internet, and hard to grasp, the management of the virtual community was very difficulty.The rise of the method of Social Network Mining brought an opportunity to us. This paper adopted Data mining and Social Network Analysis analyzing a small shopping site of the customer and product data. We extracted data of customers and products from October to November in 2009, clustering by K-mean method. We find out the active customers and products in virtual community, then structuring 2-mode network, and analyzing 1-mode network of customer-to-customer relationship and product-to-product relationship and 2-mode network of product-to-customer relationship. At last, find out the Characteristics between them.The results show that the analysis model of Social Network Mining can describe the virtual community regular pattern of 2-mode.