嵌套在互动网络中的时间起源
Phillip P A Staniczenko1, Debabrata Panja2,3
1Department of Biology, Brooklyn College, City University of New York, Brooklyn, NY 11210, USA.
PNAS nexus
|December 11, 2023
概括
一个新的模型表明,相互作用的时间 (现象学) 可以产生嵌套的网络结构. 这种现象学模型成功地预测了鱼类市场和植物传粉者网络中的许多相互作用.
科学领域:
- 生态生态学 生态生态学
- 网络科学 网络科学
- 数学生物学 数学生物学
背景情况:
- 嵌套性是各种复杂系统中普遍存在的特性,包括生态网络.
- 高嵌套性意味着较少连接的节点与连接到更多连接的节点的合作伙伴的子集相互作用.
- 了解产生嵌套性的机制对于将系统过程与网络结构联系起来至关重要.
研究的目的:
- 研究复杂网络中嵌套的基础机制.
- 开发和测试用于生成嵌套网络结构的概率模型.
- 将现象时间与网络嵌套性和相互作用可预测性联系起来.
主要方法:
- 基于现象学 (相互作用的时间) 开发了一个概率模型.
- 将模型应用于鱼类市场和植物授粉者网络的经验数据.
- 评估模型预测网络交互的能力.
主要成果:
- 基于现象学的模型成功生成了嵌套结构.
- 该模型预测了鱼类市场网络中约三分之二的相互作用.
- 该模型预测了植物授粉者网络中约三分之一的相互作用.
结论:
- 现象定时是推动互动网络中的嵌套性的关键机制.
- 由于现象学的频繁共发生,形成了嵌套相互作用的核心结构.
- 机会主义互动和合作伙伴偏好解释了剩余的网络链接.
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