具有异质度和层间合的多重网络模型中的本地相变
Nedim Bayrakdar1, Valerio Gemmetto1, Diego Garlaschelli1,2,3
1Lorentz Institute for Theoretical Physics, University of Leiden, 2333 CA Leiden, The Netherlands.
Entropy (Basel, Switzerland)
|May 27, 2023
概括
本研究引入了一种新模型,用于区分多层网络中的真实连接和虚假相关性. 研究结果表明,节点异质性可以增加重叠,但现实世界的网络,如国际贸易,需要真正的层间合.
科学领域:
- 复杂系统科学 复杂系统科学
- 网络科学 网络科学
- 统计物理 统计物理
背景情况:
- 多层网络描述了在同一节点之间具有多种类型连接的系统.
- 区分由于节点异质性导致的真实层间依赖与虚假的相关性对于理解多重体至关重要.
研究的目的:
- 开发一个无偏向的多重播放模型,可以控制层内节点度和层间重叠.
- 提供一种方法,使多层网络中的虚假相关性从真正的层间依赖关系中脱而出.
主要方法:
- 引入多重场的无偏最大模型.
- 将模型映射到一个通用的Ising模型,以研究相位过渡.
- 量化节点异质性和层间合对重叠的贡献.
主要成果:
- 节点异质性可能导致链接特定的相位过渡,增加重叠.
- 该模型成功地量化了虚假和真实的相关性如何导致重叠.
- 对国际贸易综合体的分析显示,真正需要层间合.
结论:
- 开发的模型有效地将虚假的相关性从多层网络中真正的层间依赖关系中解脱出来.
- 来自国际贸易综合体的实证证据支持模拟层间合的必要性.
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