Paper
19 July 2024 Research on network false information propagation control algorithm based on dynamic multi-objective optimization
Minzi Zhang
Author Affiliations +
Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 1318109 (2024) https://doi.org/10.1117/12.3031195
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China
Abstract
In the era of we-media big data and AIGC, various kinds of network false information emerge in an endless stream. How to effectively control the spread of false information and its variants in the Internet has become the focus of attention of network management agencies at all levels and new media in all walks of life. This paper starts with various models and methods to maximize the influence of network communication, studies the key nodes and critical paths in network information communication, and designs a dynamic multi-objective control optimization algorithm for false information propagation based on such key nodes and paths, so as to effectively control the spread of network false information in the Internet we-media era. By testing the influence of network communication of specified information, dynamic multi-objective optimization control algorithm can effectively reduce the penetration rate and propagation speed of false information. Practice has proved that the relevant propagation control algorithm has a remarkable inhibition effect on the network transmission of specific information, and the inhibition effect is more than 15% higher than that of other similar algorithms.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Minzi Zhang "Research on network false information propagation control algorithm based on dynamic multi-objective optimization", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 1318109 (19 July 2024); https://doi.org/10.1117/12.3031195
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KEYWORDS
Particles

Data modeling

Mathematical optimization

Particle swarm optimization

Social networks

Detection and tracking algorithms

Internet

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