An Evolution Algorithm of Opinion Tendency in Internet

We empirically analyze a “hot topic” of online marketing to exam the predictive performance of an opinion evolution model. We compare our model with existing algorithms of online prediction and conduct an analysis using a test data set. Results show that our model and corresponding information influence rule have increased prediction performance.