It is the key factor to restrain rumor spreading, purify the environment of network and promote network harmony that deep studying the rumor spreading. The paper first discussed the serious harmfulness of rumor spreading to society. Then, from the social media types, model research methods, model structure, research theory and whether the relationship considered the trust, the paper made the classified research and discussion of the network dissemination; finally, the paper made a prospect of the future research of rumor spreading and put forward some further research ideas.

Microblog realizes the real-time sharing of information whereas there is a great deal of false information at the same time. The widely propagation of rumors on microblog may give rise to public panic, the trust crisis of Internet and even endanger national security. Given the overflow problem of rumors, this paper proposes a method of fast identification of rumors extracting the corresponding eigenvector of each microblog according to the characteristics based on content and propagation digging from rumors on microblog. The similarity degree is measured by cosine theorem. Recognition results can effectively help people identify rumors better.

Abstract. Based on the fractal theory, this paper briefly reviews the origin and definition of fractal theory, and the concept of fractal dimension and its main calculation method. Then select one of the applications of fractal theory, in the application of recognition, to have a literature review. This paper summarizes the domestic and foreign research literature in recent 5 years, it is found that fractal recognition is involved in image, signal and waveform, but there is no breakthrough in the recognition of text information. Therefore, this paper proposes to use fractal ideas for text information recognition.