中心性最大化代理的网络演变:嵌套性出现的经验证据
Yiwen Wang1,2,3, Mengtian Cui1, Jianhong Lin2,3
1College of Computer Science and Artificial Intelligence, Southwest Minzu University, Chengdu 610041, China.
PNAS nexus
|December 1, 2025
概括
在比特币闪电网络 (BLN) 中最大限度地发挥其重要性的代理推动了嵌套结构的形成. 本研究使用网络分析和游戏理论来展示个体策略如何塑造复杂网络演变.
科学领域:
- 网络科学 网络科学
- 复杂的系统复杂的系统.
- 游戏理论 游戏理论
背景情况:
- 了解微层代理行为如何影响宏层网络结构至关重要.
- 比特币闪电网络 (BLN) 为研究网络演变提供了一个独特的,动态的数据集.
- 嵌套结构在复杂系统中很常见,但它们的出现机制尚未完全理解.
研究的目的:
- 研究代理人的中心性最大化努力与网络中嵌套结构的出现之间的关系.
- 分析比特币闪电网络 (BLN) 的动态演变.
- 开发和验证一种游戏理论模型,解释观察到的网络结构.
主要方法:
- 使用嵌套重叠,减少填充和模块化分析分析比特币闪电网络 (BLN).
- 开发一个区块内嵌模型和随机零模型进行比较.
- 构建一个以社会距离和减少因子为基础的两阶段游戏理论模型.
- 使用最大概率估计进行验证.
主要成果:
- 随着BLN的扩大,人们观察到嵌套和区内嵌套结构的显著增加.
- 旨在增强重要性的节点策略被确定为这些结构的驱动因素.
- 游戏理论模型成功地复制了BLN中观察到的嵌套模式,特别是在更大的规模上.
结论:
- 微级策略,如中心性最大化,直接影响宏级网络属性,如嵌套性.
- 这些发现为理解复杂系统中的网络动态,弹性和优化提供了基础.
- 开发的模型证明了它对其他具有类似结构特征的系统具有广泛的适用性.
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