在多体互连系统中出现的信息动态
Wout Merbis1, Manlio de Domenico2
1Dutch Institute for Emergent Phenomena (DIEP), Institute for Theoretical Physics (ITFA), University of Amsterdam, 1090 GL Amsterdam, The Netherlands.
Physical review. E
|August 16, 2023
概括
本研究引入了一个新的数学框架,用于对复杂网络的信息流进行建模. 它使用量子启发的方法揭示了隐藏的网络动态,适用于各种系统,如流行病和社会传染.
科学领域:
- 复杂系统科学 复杂系统科学
- 统计力学 统计力学
- 信息理论 信息理论
背景情况:
- 物理系统中的信息是使用统计力学和信息理论来分析的.
- 这种方法已经应用于复杂的网络,如蛋白质相互作用和大脑模型,灵感来自量子统计物理学.
研究的目的:
- 提出一个一般的数学框架,用于模拟复杂网络上的信息动态.
- 为了使节点能够使用向量值状态携带多种类型的信息.
- 将焦点从节点-节点交互转移到网络配置之间的信息流.
主要方法:
- 在复杂网络上开发信息动态的一般数学框架.
- 使用矢量值的节点状态来表示多种信息类型.
- 分析网络配置之间的信息流,灵感来自量子多体系统.
主要成果:
- 发现了网络旋转模型 (例如,选民,动力动态) 中的基本差异,这些差异无法通过经典分析检测到.
- 证明了该框架对在低维网络上传播的流行病的适用性.
- 提供了一种方法,使量子多体系统的分析技术适应网络动态.
结论:
- 拟议的框架为理解复杂系统中的信息动态提供了一种新的方法.
- 它可以比传统方法更深入地分析网络结构和动态.
- 这项工作将统计力学,信息理论和网络科学结合起来,用于更广泛的应用.
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