结构平衡系统在经典随机图上的热性能
Krzysztof Malarz1, Maciej Wołoszyn1
1Faculty of Physics and Applied Computer Science, AGH University, al. Mickiewicza 30, 30-059 Kraków, Poland.
Chaos (Woodbury, N.Y.)
|July 6, 2023
概括
随机图表上的社会动态显示,随着社会噪音的增加,从平衡到不平衡的阶段过渡. 这种过渡取决于图密度和系统大小,临界温度相应变化.
科学领域:
- 社交网络分析分析
- 统计物理学的统计物理.
- 计算社会学是一种计算社会学.
背景情况:
- 了解社会平衡是社会心理学的关键.
- 随机图形理论为建模复杂网络提供了一个框架.
- 社会噪音,就像温度一样,可以破坏稳定的社会关系.
研究的目的:
- 在不同的社会噪音水平下,在随机图表中调查社会平衡的动态.
- 确定平衡和不平衡社会状态之间的阶段过渡的条件.
- 分析图形密度和系统大小对这些动态的影响.
主要方法:
- 使用经典的随机图形模型.
- 模拟社会互动与温度作为社会噪音的代理.
- 分析相位转换和关键现象.
主要成果:
- 随着社会噪音的增加,观察到平滑的交叉或第一阶段过渡到不平衡.
- 对于一级过渡的最小图形密度随着系统大小的增加而下降 (DminN-0.58(1)).
- 对于密度超过最低值的图形密度,临界温度随图形密度的增加而增加 (Tc⋆D1.719(6).
结论:
- 社会噪音可以诱导社交网络的阶段过渡,将它们从平衡状态转移到不平衡状态.
- 图形密度和系统大小是决定这些转换的性质和条件的关键因素.
- 这些发现提供了关于社会结构在复杂系统中的稳定性和演变的见解.
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