Hot topic detection based on complex networks

The hot topic has become a key part of social information. Recognizing and detecting hot topics can help people to be aware of the focus of the community in the period and discover public opinions. The improved model can dynamically adjust the cluster to more accurately match document. Moreover, it lays the foundation for further study on the evolution of the hot topics in complex networks. For verifying the feasibility and validity of the model, the experiments are performed and the experimental results show that the proposed method works well on large-scale WebPage dataset.