ScholarGate
助手
Machine learningNetwork science

贝叶斯社会网络分析

贝叶斯社会网络分析将贝叶斯概率推断应用于关系数据,为网络参数设定先验分布,并用观测到的连接数据更新它们,从而得到结构特征、连接概率和潜在参与者位置的完整后验分布。它能够对网络模型进行原则性的不确定性量化,在数据稀疏、部分观测或存在测量误差时尤其有价值。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Hoff, P. D., Raftery, A. E., & Handcock, M. S. (2002). Latent space approaches to social network analysis. Journal of the American Statistical Association, 97(460), 1090–1098. DOI: 10.1198/016214502388618906
  2. Bayesian network. Wikipedia. link

如何引用本页

ScholarGate. (2026, June 3). Bayesian Social Network Analysis (Probabilistic Network Modeling). ScholarGate. https://scholargate.app/zh/network-analysis/bayesian-social-network-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

被引用于

ScholarGateBayesian Social Network Analysis (Bayesian Social Network Analysis (Probabilistic Network Modeling)). 于 2026-06-15 检索自 https://scholargate.app/zh/network-analysis/bayesian-social-network-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026