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贝叶斯自我网络分析

贝叶斯自我网络分析将概率推断应用于以自我为中心(个人)的网络数据,将自我局部网络的似然模型与网络参数的先验分布相结合。其结果是一个完整的后验分布,量化了关于诸如同伴构成、联系密度和网络规模等结构特征的不确定性,而不是仅仅产生点估计。

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来源

  1. Krivitsky, P. N., & Kolaczyk, E. D. (2015). On the question of effective sample size in network modeling: An asymptotic inquiry. Statistical Science, 30(2), 184–198. DOI: 10.1214/14-STS502
  2. Ego network. Wikipedia. link

如何引用本页

ScholarGate. (2026, June 3). Bayesian Ego Network Analysis (Probabilistic Inference on Personal Networks). ScholarGate. https://scholargate.app/zh/network-analysis/bayesian-ego-network-analysis

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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.

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ScholarGateBayesian Ego Network Analysis (Bayesian Ego Network Analysis (Probabilistic Inference on Personal Networks)). 于 2026-06-15 检索自 https://scholargate.app/zh/network-analysis/bayesian-ego-network-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026