论文标题
使用潜在空间模型进行排名动态网络对社交网络结构的形成分析
Analysis of the Formation of the Structure of Social Networks using Latent Space Models for Ranked Dynamic Networks
论文作者
论文摘要
数十年来，研究人员感兴趣的社交网络及其结构的发展一直引起了人们的关注。我们希望回答有关网络稳定，小组形成和受欢迎程度效应的问题。我们为排名动态网络提供了一个潜在空间模型，该模型可用于直观地构架和回答这些问题。 Newcomb在1950年代收集的众所周知的数据非常适合分析社交网络的形成。我们将模型应用于此数据，以研究网络稳定性，哪些分组出现以及何时出现以及个人受欢迎程度如何与个人稳定性相关联。
The formation of social networks and the evolution of their structures have been of interest to researchers for many decades. We wish to answer questions about network stability, group formation and popularity effects. We propose a latent space model for ranked dynamic networks that can be used to intuitively frame and answer these questions. The well known data collected by Newcomb in the 1950's is very well suited to analyze the formation of a social network. We applied our model to this data in order to investigate the network stability, what groupings emerge and when they emerge, and how individual popularity is associated with individual stability.
