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复杂网络中的通用弹性模式

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  • 1Center for Complex Network Research, Department of Physics, Northeastern University, Boston, Massachusetts 02115, USA.

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复杂的系统可能会不可预测地失去弹性,影响健康,经济和环境. 新的分析工具预测了多维系统的弹性,提供了防止崩和设计强大的技术的方法.

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科学领域:

  • 复杂系统科学
  • 网络理论
  • 系统生物学

背景情况:

  • 复杂系统面临故障和环境变化时,弹性至关重要.
  • 在生态,经济和技术系统的恢复能力的丧失造成了严重的,往往不可逆转的后果.
  • 目前的分析框架对于多维,复杂的网络系统是不够的.

研究的目的:

  • 弥合理解多维复杂系统的理论差距.
  • 开发用于预测系统弹性的分析工具.
  • 确定影响性的网络特征.

主要方法:

  • 开发分析工具以识别多维系统中的控制和状态参数.
  • 从复杂的网络行为中获得有效的单维动态.
  • 分离系统动态和拓来创建一个通用的弹性函数.

主要成果:

  • 新框架准确地预测了多维系统的弹性.
  • 确定了增强或减少弹性的特定网络特征.
  • 展示了将多种网络行为归结为单个弹性功能的能力.

结论:

  • 开发的分析框架为理解和预测系统弹性提供了通用方法.
  • 提供了防止各种领域灾难性系统崩的策略.
  • 引导设计更具弹性的技术和生物系统.