This workshop will provide a hands-on tutorial to using exponential-family random graph models (ERGMs) for statistical analysis of social networks, using the "ergm" package in statnet. The ergm ...

Implementation for the bayesian approach of the Exponential Random Graph Model (ERGM) including nodal random effects to compensate for heterogeneity in the nodes of a network [1]. Most of statistical ...

ERGM (Exponential Random Graph Models) This is a public repository for the article Juhász, S. (2021): Spinoffs and tie formation in cluster knowledge networks. Small Business Economics, 56 (4), ...

Exponential random graph models were then used to explore the relationships between students with the aim of clarifying the character of the peer relationship networks and the influence of peer ...

Advances in Applied Probability, Vol. 50, No. 1 (2018), pp. 272-301 (30 pages) We consider a family of directed exponential random graph models parametrized by edges and outward stars. Much of the ...

Skyler J. Cranmer, Bruce A. Desmarais, Inferential Network Analysis with Exponential Random Graph Models, Political Analysis, Vol. 19, No. 1 (Winter 2011), pp. 66-86 ...

Analyzing and modeling network data have become increasingly important in a wide range of scientific fields. Among popular models, exponential random graph models (ERGM) have been developed to study ...