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
概括
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.
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.
更多相关视频
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
2.7K
05:22Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
Published on: May 9, 2019
5.8K
相关概念视频
Actor-Observer Effect
439
The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in...
439
Causes of Similarity-Dissimilarity Effect
277
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
277
Nodal Analysis with Voltage Sources
2.1K
Nodal analysis is a remarkably effective method used in electrical engineering to simplify the analysis of complex circuits, including those with dependent or independent voltage sources. Its strength lies in its systematic approach to breaking down circuits into manageable components, making it easier for engineers to understand and solve.
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
2.1K
Phasor Relationships for Circuit Elements
1.1K
Phasor representation is a powerful tool used to transform the voltage-current relationship for resistors, inductors, and capacitors from the time domain to the frequency domain. This transformation simplifies the analysis of alternating current (AC) circuits.
In the time domain, Ohm's law provides a fundamental relation between the current flowing through a resistor and the voltage across it:
In the time domain, Ohm's law provides a fundamental relation between the current flowing through a resistor and the voltage across it:
1.1K
Nodal Analysis
2.0K
Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
2.0K
Impact of Schemas
232
Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
232
