方法证据记录
Dynamic Exponential Random Graph Model
The Dynamic Exponential Random Graph Model (TERGM / STERGM) extends the classic ERGM framework to panel network data, modeling how a network's ties form and dissolve over time as a function of structural tendencies, nodal attributes, and the network's own past state. It provides statistically principled inference about longitudinal network change.
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。
Dynamic Exponential Random Graph Model (Temporal ERGM)
分类方法记录 · ml-model / network-analysis
- Hanneke, S., Fu, W., & Xing, E. P. (2010). Discrete temporal models of social networks. Electronic Journal of Statistics, 4, 585–605. · DOI 10.1214/09-EJS548
- Krivitsky, P. N., & Handcock, M. S. (2014). A separable model for dynamic networks. Journal of the Royal Statistical Society: Series B, 76(1), 29–46. · DOI 10.1111/rssb.12014
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