定向网络的距离骨干是定向网络的距离骨干
Felipe Xavier Costa1,2,3, Rion Brattig Correia1,3, Luis M Rocha1,3
1Systems Science and Industrial Engineering Department, Binghamton University (State University of New York), Binghamton NY 13902, USA.
概括
本研究将图形分析扩展到定向网络,揭示了显著的结构冗余. 这种方法有助于理解复杂的网络动态和稳定性.
科学领域:
- 网络科学 网络科学
- 图形理论 图形理论
- 复杂的系统复杂的系统.
背景情况:
- 复杂的网络表现出结构冗余,这对动态和演变至关重要.
- 以前发现冗余性的方法仅限于非定向图.
- 距离骨干概念对于理解网络传输,路径推断和稳定性至关重要.
研究的目的:
- 将一个无参数的方法来发现冗余性扩展到加权定向图.
- 分析各种现实世界的定向网络中的冗余性和稳定性.
- 为原则性网络散散化和稳定性测量提供一个工具.
主要方法:
- 适用于加权定向图的代数原理方法.
- 对九个不同的网络 (社会,生物医学,技术) 的分析.
- 使用定向距离骨干的大小来量化冗余.
主要成果:
- 扩展的方法有效地识别了结构冗余在指向图.
- 与非定向图形一样,定向图形通常具有相当大的冗余性.
- 定向距离骨干的大小可以作为冗余性的强有力的衡量标准.
结论:
- 开发的方法适用于加权定向复杂网络.
- 结构冗余是定向网络的常见特征,影响其属性.
- 这项工作增强了网络分析,散散化和稳定性评估的工具.
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