Machine learningNetwork science
有向指数随机图模型
有向指数随机图模型（Directed ERGM）是一类用于有向网络的统计模型，它估计给定有向图的观测概率，该概率是结构配置（如互惠性、传递性三元组和入度中心化）以及节点或二元组协变量的函数，从而能够对生成有向连接的社会过程进行原则性推断。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Robins, G., Pattison, P., Kalish, Y. & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173-191. DOI: 10.1016/j.socnet.2006.08.002 ↗
- Frank, O. & Strauss, D. (1986). Markov graphs. Journal of the American Statistical Association, 81(395), 832-842. DOI: 10.2307/2289017 ↗
如何引用本页
ScholarGate. (2026, June 3). Directed Exponential Random Graph Model (Directed ERGM / p* Model for Directed Networks). ScholarGate. https://scholargate.app/zh/network-analysis/directed-exponential-random-graph-model
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 →