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对于Friedkin-Johnsen模型的社会权力演变分析,其中包括忘记的个体
IEEE transactions on cybernetics
|December 10, 2025
概括
这项研究使用DeGroot和Friedkin-Johnsen模型来模拟社会权力演变. 忘记的人比固的人获得更多的社会权力,更多地受到网络结构的影响,而不是个人特征.
科学领域:
- 社会科学 社会科学 社会科学
- 网络科学 网络科学
- 数学建模的数学建模
背景情况:
- 社会力量动态是复杂的,受个人行为和网络结构的影响.
- 像DeGroot和Friedkin-Johnsen这样的现有模型提供了对论动态的见解,但需要统一的框架来实现社会权力演变.
研究的目的:
- 开发一个统一的框架来研究社会权力演变.
- 分析个人特征 (显而易见与固) 和网络拓对社会权力的影响.
- 建立社会力量动态趋同的条件.
主要方法:
- 使用DeGroot平均模型用于无意识的个体和Friedkin-Johnsen模型用于固的个体.
- 确定简单的适当子集,以确保社会力量的稳定和趋同.
- 通过反射评估机制,通过反射评估机制来推导社会权力演变的非线性映射.
主要成果:
- 当最初的社会权力被限制在特定的子集时,社会权力动态就会趋同.
- 无论是专制的还是民主的社会权力都没有完全实现;忘记的个人获得更高的平均社会权力.
- 网络拓显著影响社会力量,而不是个人固.
结论:
- 这项研究为了解不同人群中的社会权力演变提供了一个强大的框架.
- 在特定条件下,社会力量的趋同是可以实现的,网络结构发挥着主导作用.
- 忘记的个人最终的社会权力排名与网络的中心性相关,而固执的个人则建立了较低的界限.
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