最接近邻居的定向随机超标图形
I A Kasyanov1, P van der Hoorn2, D Krioukov3
1Independent researcher, 0105 Tbilisi, Georgia.
Physical review. E
|December 20, 2023
概括
我们介绍了一个针对无尺度网络的定向过度图形模型. 该模型展示了核心-外围结构和可调节的互惠性,为复杂网络分析提供了新的见解.
科学领域:
- 复杂的网络 复杂的网络
- 网络科学 网络科学
- 图形理论 图形理论
背景情况:
- 非定向的超标图形模型是为高集群的无尺度网络建立的.
- 现有的模型往往缺乏对许多现实世界系统至关重要的指导性质.
研究的目的:
- 提出一种新的指导式过度图形模型.
- 分析这种新型网络类型的结构性质和新出现的行为.
主要方法:
- 节点是随机分布在一个超标圆盘上.
- 连接是建立到一个固定数量的 (m) 最接近的空间邻居.
- 还分析了一种具有空间依赖连接半径的正规版本.
主要成果:
- 该网络呈现出一个独特的核心-外围结构.
- 在低节点密度的节点密度分布遵循一个截断的功率定律.
- 网络互惠性可以通过类似温度的参数来控制.
结论:
- 拟议的定向超标模型为生成复杂网络提供了灵活的框架.
- 该模型成功地捕获了核心-外围组织和可调节的互惠.
- 这项工作为建模定向无尺度网络提供了一个新的工具.
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