指挥控制与仿真2026，Vol.48Issue(4)：72-78,7.DOI:10.3969/j.issn.1673-3819.2026.04.010
基于混合SFLA-PSO算法网络谣言辟谣方法研究
Research on the rumor refutation method based on the hybrid SFLA-PSO algorithm
王欣 1胡曦2
作者信息
- 1. 武汉工程大学邮电与信息工程学院,湖北 武汉 430073
- 2. 江汉大学 人工智能学院,湖北 武汉 430056
- 折叠
摘要
Abstract
To address the challenges of rapid rumor dissemination and the tendency of traditional algorithms to fall into local optima in social networks,this paper proposes a real-time rumor refutation method based on a hybrid Shuffled Frog Leaping Algorithm and Particle Swarm Optimization(SFLA-PSO).This approach integrates the clustering cooperative local search capability of SFLA with the fast global convergence advantage of PSO.Firstly,a rumor dissemination model incorporating us-ers'social ties and trust degrees is constructed.Users are categorized into different age groups,and differentiated modeling strategies(SFLA or PSO)are applied according to their cognitive characteristics.Secondly,the SFLA-PSO hybrid optimiza-tion algorithm is designed to dynamically update user trust levels through local deep search and global information interac-tion,thereby efficiently blocking rumor propagation.Simulation results demonstrate that,compared with standalone SFLA and PSO algorithms,the proposed hybrid algorithm exhibits significant advantages in convergence speed and computational efficiency.It can guide user cognition towards the truth more rapidly and comprehensively,effectively curbing the spread of rumors.关键词
辟谣方法/混合蛙跳算法/粒子群算法/社会关系/信任度/混合优化算法Key words
internet rumor refutation/SFLA/PSO/social ties/trust degree/hybrid optimization algorithm分类
信息技术与安全科学引用本文复制引用
王欣,胡曦..基于混合SFLA-PSO算法网络谣言辟谣方法研究[J].指挥控制与仿真,2026,48(4):72-78,7.
