Public opinion propagation inhibition method based on smart community big data knowledge graph

Abstract

The invention discloses a public opinion propagation inhibition method based on a smart community big data knowledge graph. The method comprises the following steps: S1) constructing a knowledge graph and a community network based on a smart community public opinion propagation inhibition model; S2) dividing the community network into a plurality of communities by adopting a community detection algorithm, and converting a community detection problem into an optimization problem by adopting a BGLL algorithm; S3) selecting a corresponding node to obtain a candidate immune node set; and S4) optimizing a propagation threshold function by using an improved Memetic algorithm, selecting a final immune node from the candidate immune node set, and inhibiting the propagation of bad public opinions in the smart community. Deep structured analysis is carried out on the big data knowledge graph of the smart community, low-cost, small-influence and high-efficiency public opinion suppression can be realized through the big data knowledge graph based on the smart community and an artificial intelligence public opinion suppression algorithm, the management effect of a manager is improved, and the management burden is reduced.

Description

【Technical field】 [0001] The invention belongs to the technical field of knowledge graphs, in particular to a method for suppressing the spread of bad public opinion based on the big data knowledge graphs of smart communities. 【Background technique】 [0002] Social relations in communities can be represented by complex networks. As an important property of complex networks, community structure has been increasingly used in complex network behavior prediction and structure mining. With the rapid development of information networks in recent years, information dissemination has become a research hotspot in complex networks in recent years. How to understand and use information dissemination is of great significance and has great practical value. For example, advertising on highly influential nodes can obtain the greatest value. However, the spread of online public opinion often causes great losses to our lives and health, so it is very necessary to study the model of suppres...

AI Technical Summary

Problems solved by technology

Scholars have proposed a large number of immunization strategies in previous studies, and target immunization is a commonly used strategy in immunization. Immune nodes are selected according to different structural characteristics of the network. However, with the proposal of the propagation threshold function, the propagation suppression problem is modeled as Optimization problem, the optimal immune node can be found by optimizing the threshold, the traditional immune strategy is no longer suitable for the optimization model

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