Simulating sharing behavior in social networking sites

The explosion in social networking sites allows people interact with friends on web more frequently and easily. Thus, applications on social networking such like the social networking advertising have been regarded as a wonderful opportunity for marketing. In this study, we try to simulate the content sharing behavior in social networking sites and we optimize simulation parameters by using evolution strategy method with historical data and finally we build a system for predicting audience number and reaction information before sharing. The simulated information can be applied in marketing case selection, content design and content customization.