在谣言传播制中,动态选择澄清道
Yi Wang1, Shicheng Zhong2, Guo Wang3
1School of Big Data and Information Industry, Chongqing City Management College, Chongqing 400000, China.
Mathematical biosciences and engineering : MBE
|September 7, 2023
概括
本研究介绍了一种动态道选择 (DCS) 策略,通过优化在固定预算内通过各种媒体道传播反谣言信息来打击谣言传播. DCS算法有效地识别最佳道组合,以最大限度地扩展信息覆盖范围并最大限度地降低成本.
科学领域:
- 社交计算社会计算
- 信息科学 信息科学 信息科学
- 计算社会科学 计算社会科学
背景情况:
- 谣言对社会稳定构成重大威胁.
- 有效的谣言澄清需要战略传播反信息.
- 针对反谣言活动的媒体道选择带来了效率和成本方面的挑战.
研究的目的:
- 解决动态道选择 (DCS) 问题,以优化反谣言信息传播.
- 在预算限制下开发一个数学模型来评估DCS策略.
- 为了最大限度地扩展反谣言信息的覆盖范围,同时最大限度地降低传播成本.
主要方法:
- 提出了一个谣言传播模型来分析DCS策略的影响.
- 建立了一个权衡模型,将DCS问题制定为数学优化模型.
- 开发了一种基于遗传算法的数值方法,即DCS算法,以解决DCS模型.
主要成果:
- 该DCS算法有效地生成有效的DCS策略.
- 数字实验验证了拟议的DCS算法的性能.
- 该研究展示了一种优化反谣言活动资源分配的方法.
结论:
- DCS算法为动态频道选择问题提供了可行的解决方案.
- 优化道选择对于具有成本效益的谣言缓解至关重要.
- 这项研究为提高公众信息活动效率提供了一个框架.
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