The Impact Of User Interaction On Product Sales In Sharing And Guiding Community

Today online shopping has became an important part. However, consumer has to bear more risk than traditional shopping, due to they can’t feel the physical product while shopping. In order to gain more accurate knowledge of online products, consumer would generate more searching behavior for more information. And interaction is the most effective way. In this new saling background, all platforms are looking for new models to meet consumer habits. Then social commerce appears. Every consumer becomes a member of the social network by concerning someone or sharing some product. And the network expands while information spreads. The main content is as follows.1、The network futures of sharing and guiding communityAs a kind of social commerce, sharing and guiding community-Mogujie and Taobao--provides the basic data for researchers to find out the network futures. It turns out that the target network is centralized obviously and asymmetric. The target network is tight enough and the relationship of nodes is close enough to accelerate information spreading. Some tight-knit group has formed, consumer relationship network is stabilized.2、The impact of user interaction on product sales and purchase intention in sharing and guiding communityIn this paper, product sales is the trading volume, purchase intention is the number of likes and comments. With the time that a product is shared as a demarcation point, user interaction promotes product sales and purchase intention significant in sharing and guiding community. Through the correlation analysis of nodes in the network, we can find that the level a node at the heart, the ability to control information spreading, as well as the proximity to other nodes all have a significant impact on product sales. By the correlation analysis of the overall network, we find that as the increasing of the centralization, both purchase intention and product sales decrease.3、Establish the impact mechanism of user interaction on product sales in sharing and guiding communityIn this paper, product sales is the trading volume, purchase intention is the number of likes and comments, regard variable above as dependent variable. Then establishing the regression model with the related parameters to be the independent variable.