超-ILSR谣言传播模型与和发生率的动态分析
Xuehui Mei1, Ziyu Zhang1, Haijun Jiang1
1College of Mathematics and System Science, Xinjiang University, Urumqi 830046, China.
Entropy (Basel, Switzerland)
|May 27, 2023
概括
这项研究引入了一个新的Hyper-ILSR模型,使用超图理论来更好地理解谣言传输动态. 这项研究揭示了传播值,并提出了抑制谣言的最佳控制策略.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 信息科学 信息科学 信息科学
背景情况:
- 互联网促进了信息的快速传播,增加了谣言的传播.
- 了解谣言传播机制对于有效控制至关重要.
- 传统模型往往忽略了谣言传播中的复杂,多节点的相互作用.
研究的目的:
- 介绍一种新的谣言传播模型,Hyper-ILSR,使用超图形理论结合高阶交互.
- 分析谣言传播动态,包括值和平衡状态.
- 制定最佳的控制策略,以减轻谣言的传播.
主要方法:
- 基于超图理论和超度的Hyper-ILSR模型的构建.
- 使用利亚普诺夫函数对模型平衡和稳定性的分析.
- 数字模拟将Hyper-ILSR与传统的ILSR模型进行比较,并证明控制的有效性.
主要成果:
- 建立了Hyper-ILSR模型的谣言传播值和平衡点的存在.
- 利亚普诺夫函数证实了平衡状态的稳定性.
- 数字模拟说明了最佳控制在抑制谣言传播方面的有效性.
结论:
- 超图理论为模拟复杂的谣言传播提供了一个更现实的框架.
- 超级ILSR模型准确地捕捉了更高层次的交互,为谣言动态提供了洞察力.
- 从模型中获得的最佳控制策略可以有效地减少错误信息的传播.
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