Analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks
Analysis of the formation of the structure of social networks by using latent space models for ranked dynamic networks
复制标题
使用排名动态网络的潜在空间模型分析社交网络结构的形成
DOI：
10.1111/rssc.12093
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Yuguo Chen
中科院分区：
文献类型：
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作者：
Daniel K. Sewell;Yuguo Chen
几十年来，社会网络的形成及其结构的演变一直是研究人员感兴趣的问题。我们希望回答有关网络稳定性、群体形成和人气效应的问题。我们提出了一个潜在空间模型，用于排名动态网络，可以直观地框架和回答这些问题。纽科姆在20世纪50年代收集的众所周知的数据非常适合分析社会网络的形成。我们将我们的模型应用于这些数据，以调查网络稳定性、出现的分组和出现的时间，以及个人受欢迎程度与个人稳定性之间的关系。
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 frame and answer these questions intuitively. The well‐known data collected by Newcomb in the 1950s are very well suited to analyse the formation of a social network. We applied our model to these data to investigate the network stability, what groupings emerge and when they emerge, and how individual popularity is associated with individual stability.
DOI：
10.1214/09-aoas313
发表时间：
2010-06-01
期刊：
The annals of applied statistics
影响因子：
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作者：
Snijders TA;Koskinen J;Schweinberger M
通讯作者：
Schweinberger M