方法证据记录
Bayesian Betweenness Centrality
Bayesian Betweenness Centrality estimates how often a node lies on shortest paths in a network while explicitly quantifying uncertainty arising from incomplete, sampled, or noisy edge observations. Rather than producing a single point estimate, it yields a posterior distribution over betweenness scores, enabling credible intervals and probabilistic comparisons between nodes.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Betweenness Centrality (Probabilistic Inference of Shortest-Path Centrality)
分类方法记录 · ml-model / network-analysis
- Newman, M.E.J. (2010). Networks: An Introduction. Oxford University Press. · ISBN 978-0-19-920665-0
- Fortunato, S., Bergstrom, C.T., Borner, K., Evans, J.A., Helbing, D., Milojevi, S., Petersen, A.M., Radicchi, F., Sinatra, R., Uzzi, B., Vespignani, A., Waltman, L., Wang, D. & Barabasi, A.-L. (2018). Science of science. Science, 359(6379), eaao0185. · DOI 10.1126/science.aao0185
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