Mining Hot Topics on Internet under Web 2.0

It is a valuable task of mining hot topics on Internet utilizing users feedback under Web 2.0 environment. Motivated by heat diffusion phenomena, the information activities on the Internet are treated as heat flow, and heat diffusion model is used to simulate these acitivities. Based on heat diffusion model, a novel topic detection and ranking algorithm is proposed. The experiment results demonstrate that the algorithm works well under Web 2.0 environment.