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Updated: Jul 23, 2025

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A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
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由不确定的信息引起的社会传染
1Department of Economics, Center for Computational Social Science, Kobe University, Kobe 657-8501, Japan.
Physical review. E
|July 19, 2023
概括
在不确定性下研究了社会传染动态. 对邻居活动的误解可以触发全球级联,即使确定性会阻止它们,强调概率值规则的作用.
科学领域:
- 网络科学 网络科学
- 社会物理学的社会物理.
- 计算社会科学 计算社会科学
背景情况:
- 社会传播和信息传播是通过值模型研究的关键现象.
- 现有的模型通常假定对邻国状态的完美观察,这是潜在的不现实的假设.
研究的目的:
- 在一个包含不确定性的标准值模型中分析全球级联动态.
- 调查不完美的状态观察对社会传染的影响.
主要方法:
- 引入了一个概率值规则,个人使用统计推理来估计邻居的活动.
- 在这个充满不确定性的值模型下分析了全球级联的动态.
主要成果:
- 由于更新的状态推理,传播过程变得非单调.
- 对邻国的国家的误解可以充当自我实现的预言,引发连锁反应.
- 级联可以在情景中出现,而在决定性条件下,它们是不可能的.
结论:
- 在观察社交网络时的不确定性显著改变了传染动态.
- 概率学值规则揭示了误解如何驱动广泛的社会现象.
- 这些发现挑战了决定性模型的假设,并强调了信息不确定性在社会传播中的重要性.
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