A Rumor Propagation Control Method Based on Three-Party Dynamic Game

Abstract

The invention belongs to the field of network public opinion monitoring, in particular to a rumor propagation control method based on three-party dynamic game; the method comprises real-time acquisition of social network data, including user historical behavior data under rumors, rumor-refuting and rumor-promoting messages; User attributes are extracted from the data; a three-party dynamic game model is established according to the game relationship between rumors, rumors, and rumor-promoting parties; according to the three-party dynamic game model, the control variables at the current moment are solved; the control variables are sent to the management server to manage According to the control variable, the server adopts a hierarchical control method to control the spread of the rumor spreading node, the rumor refuting spread node and the rumor promoting node; The dissemination of the platform can more accurately reflect the trend of rumor dissemination, so as to control the dissemination of rumors in real time and effectively.

Description

technical field [0001] The invention belongs to the field of network public opinion monitoring, and relates to the function relationship among rumors, rumor-refuting and rumor-promoting messages in social networks, and specifically relates to a rumor propagation control method based on a three-party dynamic game. Background technique [0002] With the rapid development of Internet technology, online social networking has become an indispensable part of people. While providing convenience for the present invention, major social platforms also become a breeding ground for rumors. Rumors are offensive or purposeful statements that have no basis in fact. The spread of rumors has the characteristics of suddenness and group nature, which can easily cause people's psychological panic, cause social order turmoil, and bring huge economic losses to individuals and society. Therefore, studying the dynamic model of rumor propagation is helpful to grasp the trend of group evolution, an...

AI Technical Summary

Problems solved by technology

[0004] Although the existing rumor propagation models describe the rumor propagation process to a certain extent, due to the lack of comprehensive analysis of multiple types of rumor information and the limitation of simple parameter settings, they have not considered the relationship between rumors, rumors, and rumors. competition and cooperation, and people's profit-seeking nature when faced with multiple types of rumor information, therefore, the constructed model cannot truly simulate the evolution trend of rumor spreading in the real world

For example, the Chinese patent CN 109492084 A proposes a method for estimating the spread of rumors based on a social network dual-rumor model. This method considers the relationship between two rumors that spread together, and can effectively analyze the spread of rumors. However, the model ignores the multi-type The competition and cooperation relationship of rumors and the lack of comprehensive consideration of the user's profit-seeking psychology cannot well describe the rumor propagation behavior in complex networks, and the existing propagation mechanism cannot accurately and quickly determine the scale of node failures , so that it is impossible to accurately reduce the number of rumor spreading nodes or / and increase the number of rumor spreading nodes, nor can it accurately control the spread of nodes

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