Online social network user behavior prediction method based on simple harmonic vibration theory

Abstract

The invention discloses an online social network user behavior prediction method based on a simple harmonic vibration theory. The method comprises the following steps of: splitting each piece of user data in an online social network space into information historically published by users and a network topology structure where the user is located; respectively calculating the influence of the information historically published by each user and the of the network topology influence of the network topology structure where the users is located; obtaining the comprehensive influence of each user according to the information historically published by each user and the network topology influence of the network topology structure where the users is located; and setting a threshold value to predict a decision-making behavior of each user who will or not will forward information under the effect of the comprehensive influence of the corresponding users. The method can be used for monitoring network public opinions, the rough trend of a rumor can be predicted in the early stage of the outbreak of the rumor, and the future network behavior of a certain user can be accurately positioned.

Description

technical field [0001] The invention relates to the field of cyberspace security, in particular to a method for predicting online social network user behavior based on the simple harmonic vibration theory. Background technique [0002] The research on information dissemination behavior in the online social network space is used to explain how information is transmitted among network users. Since each user is an independent individual in real life, the behavior of the entire Internet user group is extremely complex, thus giving the field The research work has brought great difficulties. In the field of online social network space security, there is a kind of information dissemination behavior that can bring great instability to the society, that is, the dissemination of rumor information. For future behaviors, the large-scale spread of rumors can be prevented by taking rumor containment measures in advance. However, looking at the existing technical solutions, most of them ...

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Problems solved by technology

However, looking at the current technical solutions, most of them only have the estimation of the scale of the final impact of the rumors, and can only passively deal with the aftermath of the adverse effects brought about by the rumors, and cannot prevent problems before they happen.

[0003] Research on information dissemination behavior in online social networks has a long history, but few studies emphasize the role of information content itself, and only stud

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