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传染风险和针对性网络的安全投资
1Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL USA.
概括
我们开发了一个网络模型来分析传染风险和安全投资. 我们的研究结果揭示了网络结构,特别是无限方差度分布,如何放大小震荡,导致广泛的传染,即使具有高剂量值.
科学领域:
- 网络科学 网络科学
- 风险分析 风险分析
- 游戏理论 游戏理论
背景情况:
- 现有的传染模型,如独立级联和线性值,具有局限性.
- 了解复杂网络中的传染放大对于风险管理至关重要.
研究的目的:
- 开发传染风险的通用模型和针对性网络的最佳安全投资.
- 分析网络弹性和干预措施的影响.
- 研究纳什平衡和社会最佳的安全投资策略.
主要方法:
- 为具有异质性质的相互连接剂开发了一个通用的传染模型.
- 在具有不同程度分布的随机网络中,关于最终传染大小的陈述极限定理.
- 通过使用网络漏洞分析了非对称的纳什平衡和社会最佳投资.
主要成果:
- 导出网络弹性条件和量化传染放大.
- 证明了与相关度的无限方差度分布可以触发广泛的传染.
- 证明了干预措施 (透) 对传染病传播的影响.
- 确定网络漏洞是代理人风险和投资决策的关键因素.
- 在证券投资中提供了独特和单调的纳什平衡条件.
结论:
- 该模型为传染和投资分析提供了一个通用的框架.
- 网络结构显著影响着传染扩大和弹性.
- 网络漏洞为分析安全投资平衡提供了一种可操作的方法.
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