论文标题
在基于ERGM的动态网络模型中建模TIE持续时间
Modeling Tie Duration in ERGM-Based Dynamic Network Models
论文作者
论文摘要
Krivitsky and Handcock（2014）提出了一个可分离的时间ERGM（Stergm）框架，用于建模社交网络，该框架促进了TIE持续时间分布的可分离建模和TIE形成的结构动力学。在本说明中，我们探索了该框架中可以实现的危害结构，并以一级和更高阶段的马尔可夫假设，并提出了在此框架中建模各种持续时间分布的方法。
Krivitsky and Handcock (2014) proposed a Separable Temporal ERGM (STERGM) framework for modeling social networks, which facilitates separable modeling of the tie duration distributions and the structural dynamics of tie formation. In this note, we explore the hazard structures achievable in this framework, with first- and higher-order Markov assumptions, and propose ways to model a variety of duration distributions in this framework.
