Modeling Tie Duration in ERGM-Based Dynamic Network Models

Abstract

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.

Reposting of Penn State University Department of Statistics Technical Report 12-02 (April 2012), lost in a web site migration; 14 pages, 3 figures, 1 table. arXiv admin note: text overlap with arXiv:2203.06866