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相关实验视频

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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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节点异质性可以在关系事件模型中诱导幽灵三元效应.

Rūta Juozaitienė1, Ernst C Wit2

  • 1Vytautas Magnus University.

Psychometrika
|February 25, 2026
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概括
此摘要是机器生成的。

研究人员通过提出随机效应关系事件模型来解决时间网络动态. 这种模型有效地解决了未观察到的发送器和接收器异质性引起的问题,防止网络分析中的虚假发现.

关键词:
扩张性 扩张性层次原则是层次的原则.人气 人气 人气.随机效应是一种随机效应.关系事件建模关系事件建模三级效应的三级效应.

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科学领域:

  • 网络科学 网络科学
  • 计算社会科学 计算社会科学
  • 统计建模 统计建模

背景情况:

  • 时间网络数据捕捉了随时间的相互作用,这对于理解动态系统至关重要.
  • 现有的关系事件模型与未观察到的演员异质性作斗争,可能导致偏见的结果.
  • 节点异质性,或个体差异,可以影响网络动态,但很难完全捕捉.

研究的目的:

  • 调查时间网络中未被观察到的发送器和接收器效应如何产生虚假的发现.
  • 提出和评估关系事件模型的新奇随机效应扩展.
  • 证明模型在解决与节点异质性有关的问题的有效性.

主要方法:

  • 为关系事件模型开发一个随机效应扩展.
  • 拟议模型与传统方法 (如学位内和学位外统计) 的比较.
  • 时间网络数据的分析,以识别和纠正发送者和接收者效应.

主要成果:

  • 如果不考虑发送者和接收者效应,可能会引发"幽灵三元效应".
  • 提出的随机效应关系事件模型有效地解决了节点异质性.
  • 与传统方法相比,新模型在解决层次原则违反问题方面表现出优越的性能.

结论:

  • 在关系事件模型中包含随机效应对于准确分析时间网络数据至关重要.
  • 拟议的方法为网络分析中未观察到的异质性提供了可靠的解决方案.
  • 这种方法提高了动态网络研究结果的可靠性.