复杂性 机关网络的同步 机关网络的复杂性
Bruce J West1,2, Paolo Grigolini2, Scott E Kerick3
1Department of Research and Innovaton, North Carolina State University, Raleigh, NC 27606, USA.
Entropy (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了复杂性同步,这是一个新的科学概念,解释了复杂动态网络中的信息交换. 它展示了器官网络之间的多分体维度匹配如何优化信息流,这对于理解生理系统至关重要.
科学领域:
- 综合生物学 综合生物学
- 复杂性科学是一门复杂性科学.
- 网络科学 网络科学
背景情况:
- 现象的日益复杂化需要跨学科的方法,整合社会,生命和物理科学.
- 复杂性理论和复杂性同步已经出现,以解释动态网络中的复杂现象.
- 了解网络内部和网络之间的信息交换对于生物和社会系统至关重要.
研究的目的:
- 研究复杂性同步作为生物网络中信息流动的原则.
- 使用多分体维度量化交互的器官网络之间的相对复杂性.
- 为了测试复杂性同步发生在生物网络的缩放指数之间的假设.
主要方法:
- 利用器官网络的关键事件时间序列的多分体维度分析.
- 通过计算配对器官网络之间的多分体维度差异来量化相对复杂度.
- 从大脑,心血管和呼吸系统网络分析经验数据集的缩放特性.
主要成果:
- 动态网络之间的信息流是由它们相对复杂程度决定的.
- "复杂性匹配效应"描述了当网络复杂性相等时的最佳信息传输.
- 来自大脑,心血管和呼吸系统的经验数据支持复杂性同步的发生.
结论:
- 复杂性同步是生物系统有效信息交换的基本原则.
- 匹配多分形维度的时间依赖意味着复杂性同步.
- 这一框架为生理网络的协调功能提供了新的见解.
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