Social network information credibility evaluation method based on propagation attribute similarity

Abstract

The invention provides a social network information credibility evaluation method based on propagation attribute similarity. The method comprises the steps: A, extracting social network information propagation contents, and constructing a social network information propagation network; b, social network information propagation node attributes are extracted, social network information propagation network topology attributes are calculated, historical information credibility is marked, and a historical information propagation attribute database is established; c, calculating the propagation attribute similarity between the target social network and the historical social network so as to evaluate the information credibility of the target social network; through the above steps, the purpose ofsocial network information credibility evaluation based on propagation attribute similarity can be achieved, the method is high in integrity, high in objectivity and good in universality, and the problem that the credibility of social network information is difficult to measure and evaluate objectively is solved.

Description

technical field [0001] The invention proposes a method for evaluating the credibility of social network information based on the similarity of propagation attributes, which relates to technical fields such as network science and social network analysis. Background technique [0002] In a narrow sense, social network information refers to information that can be traced within a certain period of time in a social network environment, triggers dissemination, and has a certain impact on society. Hot news, hot topics, controversial events, etc. are common social network information in social networks. [0003] With the development of information technology and the emergence of new network media, the dissemination speed of social network information is getting faster and faster, and the scale of dissemination is increasing day by day. For example, when faced with a major disaster, people can quickly and accurately transmit social network information related to the disaster throug...

AI Technical Summary

Problems solved by technology

[0006] Most of the previous methods are based on the credibility evaluation methods of macro attributes such as publisher attributes, information content attributes, or information time and quantity, or require a lot of manpower and material resources to collect and judge the specific social network information attributes to be evaluated. There is little research and utilization of information dissemination attributes, and there is no reference to historical information dissemination attributes to evaluate the credibility of social network information

Therefore, although the above methods can quantitatively or qualitatively evaluate the credibility of specific social network information, they fail to accurately grasp the significant and fundamental differences in the dissemination characteristics of credible and untrustworthy information in social networks. Poor adaptability, poor general interpretability, and huge waste of manpower and time

Images