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What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
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Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
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相关实验视频

Updated: Jun 22, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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新兴的无规模网络.

Christopher W Lynn1,2,3,4,5, Caroline M Holmes5,6, Stephanie E Palmer7,8

  • 1Department of Physics, Yale University, New Haven, CT 06511, USA.

PNAS nexus
|July 5, 2024
PubMed
概括
此摘要是机器生成的。

无规模网络可以通过自我组织而在没有增长的情况下形成. 这项研究表明,网络如何通过重新连接连接来实现无尺度属性,即使它们的尺寸保持不变.

关键词:
复杂的网络复杂的网络.网络科学 网络科学没有规模的结构结构.自主组织的自我组织.

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科学领域:

  • 网络科学 网络科学
  • 复杂系统理论 复杂系统理论
  • 统计物理 统计物理

背景情况:

  • 许多复杂的系统,包括互联网和生物网络,都表现出无尺度结构.
  • 现有的理论通常假定网络随着时间的推移而增长,这并不普遍适用.
  • 无尺度属性对于理解网络的稳定性和功能至关重要.

研究的目的:

  • 解释在没有增长的网络中出现无尺度结构的出现.
  • 引入一种自我组织机制,用于生成无规模网络.
  • 为了证明在固定大小和密度的系统中可以产生无尺度的属性.

主要方法:

  • 通过连接分离和重新连接来建模网络演变.
  • 实施混合的优惠和随机附加规则.
  • 分析度分布向权力定律的演变.

主要成果:

  • 在网络中,即使节点和边缘的数量是固定的,也会出现无尺度结构.
  • 由此产生的权力分配的指数仅取决于优先附加的比例.
  • 该模型成功地从现实世界的网络数据中推断了附件参数.

结论:

  • 网络自组织提供了一个机制,可以在不需要网络增长的情况下形成无规模的结构.
  • 这一发现扩大了对复杂系统如何实现无尺度属性的理解.
  • 这些结果对各种复杂系统的结构,功能和弹性产生了重大影响.