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WS-M23: Exponential Random Graph Models (ERGMs) using statnet
Time:
Monday, 23/June/2025:
1:30pm - 4:30pm
Session Chair: Michal Jan Bojanowski Session Chair: Steven Goodreau
Session Abstract
This workshop provides 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 package provides tools for the specification, estimation, assessment and simulation of ERGMs that incorporate the complex dependencies within networks. Topics covered in this workshop include:
* an overview of the ERGM framework;
* types of terms used in ERGMs
* defining and fitting models to empirical data;
* interpreting model coefficients;
* goodness-of-fit and model adequacy checking;
* simulation of networks using fitted ERG models;
* degeneracy assessment and avoidance.
Workshop length: 3 hours
Max attendees: 30
Presentations
Exponential Random Graph Models (ERGMs) using statnet
Michal Jan Bojanowski, Steven Goodreau
This workshop provides 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 package provides tools for the specification, estimation, assessment and simulation of ERGMs that incorporate the complex dependencies within networks. Topics covered in this workshop include:
