An Immune Method for Rumor Spreading on Online Social Platforms Based on Percolation Analysis

Abstract

The present invention provides an immune method for spreading rumors on an online social platform based on percolation analysis. The steps are as follows: 1. Preprocessing the actual microblog rumor data information; 2. For the preprocessed data information, based on forwarding between users Establish a rumor dissemination network based on the relationship with the reposted; 3. Based on the existing rumor network information, establish a rumor coupling network according to the mutual relationship between the co-participants of different rumor networks; Based on the suppression effect of different percolation methods on the rumor network, an effective immune method is proposed; through the above steps, the present invention establishes a network based on the rumor propagation data on the actual online social platform, and establishes a rumor coupling network according to the connection between the networks, and couples the coupling network from different angles. The percolation analysis of the network can evaluate and quantify the vulnerability of the rumor network, which can provide a strong method support for further immunity from the spread of rumors in online social networks.

Description

technical field [0001] The invention proposes an immune method for spreading rumors on an online social platform based on percolation analysis, which relates to percolation theory and coupled network analysis in network science, and belongs to the interdisciplinary technical field of information communication and network science. Background technique [0002] The rapid development of Internet technology has made information exchange more convenient, and a series of Internet rumors that are rapidly generated and spread relying on Internet media have had a great impact on society. According to the "China New Media Development Report (2013)", among the 671 rumors reported in the media in 2012, 34.7% of the rumors were spread through Weibo. Therefore, based on the analysis of the actual rumor data information of Sina Weibo, it is urgent to master the spread rules of rumors on online social platforms, and to timely and effectively immunize rumors. [0003] Rumor spreading and vi...

AI Technical Summary

Problems solved by technology

The existing rumor dissemination models lack the support of actual rumor dissemination data, and have limitations in describing the rumor dissemination process. They do not fully reflect the characteristics of the rumor dissemination process on the actual online social networking platform, so they cannot accurately describe the rumor dissemination process.

Based on the collected rumor propagation data information on the actual online social network platform, the present invention establishes a rumor propagation network for the rumor data information, which can realize the actual process of accurate visualization of rumor propagation; the existing immune method for suppressing rumor propagation is based on the rumor propagation network The immune method aims to suppress the spread of a certain rumor network. The disadvantage of these methods is that they are relatively inefficient and cannot quickly and effectively suppress multiple rumors that spread on the online social network platform at the same time on a large scale, so they are no longer available. Applies immunity to the spread of rumors on online social networking platforms

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