False message propagation inhibition method based on influence maximization

Abstract

The invention discloses a false message propagation inhibition method based on influence maximization. The method comprises the steps: (1) carrying out the processing of a propagated information flowthrough employing a Louvain clustering locality centrality algorithm LCLD or a maximum random node degree algorithm RMD, and obtaining a node set with the maximum influence; (2) converting messages published by node users in the node set into three-dimensional word vectors by using Word2Vec, identifying and classifying the obtained word vectors by using a TextCnn network, and distinguishing real message nodes from false message nodes; and (3) filtering the nodes publishing the false messages in the node set. By utilizing the method for inhibiting the propagation of the false message, the falseuser node with the maximum influence can be automatically searched and deleted, so that the influence generated by releasing the false message node is inhibited.

Description

technical field [0001] The invention belongs to the technical field of network security, and in particular relates to a method for suppressing false news propagation based on influence maximization. Background technique [0002] With the continuous development of the Internet, people have entered an era of information explosion. Social networks cover almost all types of media and become the main medium for people to transmit and obtain information, gradually replacing people's traditional communication methods in the past. Because it has the characteristics of decentralization, fast transmission speed, and difficult control, it shortens the message lag caused by geographical and spatial differences before, so it can give news dissemination a higher timeliness. Although the control and management technology of network information dissemination has obvious lag compared with the development of the Internet itself, for the control of network information dissemination, network in...

AI Technical Summary

Problems solved by technology

However, at this stage, some online media release false information in order to obtain economic benefits, which will inevitably damage the credibility of online media in the long run

[0005] Second, deceive the audience and disrupt social order

However, this method fits a specific network structure, which has the problem of low versatility, and it is difficult to accurately predict the dissemination of new network information data. At the same time, this method has a weak suppression effect on false news.

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