Seepage analysis-based online social platform rumor spreading immune method

Abstract

The invention provides a seepage analysis-based online social platform rumor spreading immune method. The method comprises the following steps of: 1, preprocessing practical microblog rumor data information; 2, aiming at preprocessed data information, establishing rumor spreading networks on basis of a relationship between transferring and transferred of users; 3, establishing a rumor coupling network according to a mutual relationship among co-participants of different rumor networks on the basis of existing rumor network information; and 4, carrying out seepage analysis on the rumor couplingnetwork from different angles, and comparing inhibition effect, for the rumor networks, of different seepage methods so as to provide an effective immune method. Through above steps, networks are established on the basis of rumor spreading data on practical online social platforms, the rumor coupling network is established according to the relationship among the networks, and seepage analysis iscarried out on the coupling network from different angles, so that assessment and quantification are carried out on fragility of the rumor network and powerful method support can be provided for further immune of rumor spreading of the online social platforms.

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 t

Images