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, Kaunas, Lithuania. ruta.juozaitiene@vdu.lt.
Psychometrika
|March 6, 2024
概括
通过考虑发送者和接收者效应,可以改进时间网络分析. 一个新的随机效应模型解决了由未观察到的节点异质性引起的幽灵效应,增强了关系事件模型.
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着时间的推移而发生的互动,比如共同作者或电子邮件.
- 关系事件框架模拟时间依赖和网络动态.
- 了解内源机制 (互惠,三元效应) 和演员属性至关重要.
研究的目的:
- 在时间网络分析中解决节点异质性的问题.
- 为了证明未被观察到的发送器和接收器效应如何产生虚假的三元效应.
- 为关系事件模型提出一种新的随机效应扩展.
主要方法:
- 开发了关系事件模型的随机效应扩展.
- 将拟议的模型与传统方法 (如学位内和学位外统计) 进行比较.
- 研究了未观察到的节点异质性对网络动态的影响.
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"三极效应.
- 提出的随机效应模型有效地解决了由节点异质性引起的问题.
- 随机效应扩展在捕获网络动态方面优于传统方法.
结论:
- 在关系事件模型中包含随机效应对于准确捕捉网络动态至关重要.
- 这种方法解决了因节点异质性信息不足而导致的层次原则违反问题.
- 拟议的方法为分析复杂的时间网络数据提供了一个强大的解决方案.
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