Description:

This seminar provides a comprehensive exploration of Exponential Random Graph Models (ERGMs) for advanced network analysis, equipping participants with the ability to model and interpret complex network data. Led by Dr. Basak Taraktas, attendees will gain hands-on experience using R to apply these sophisticated techniques across various fields, enhancing their research capabilities.

Start: Monday, 01 September 2025 @ 23:00

End: Wednesday, 03 September 2025 @ 02:00

Timezone: Sydney

Learning Objectives:

Topics Covered
Foundations of ERGMs , Questions that ERGMs answer , MLE , MCMC estimation , interdisciplinary applications , homophily , shared partners , interpreting results , goodness of fit , ERGM terms , nodal covariates , convergence , degeneracy , TERGMs , backbones , discussing results in academic papers , ERGM limitations , alternative modeling schemes

Eligibility:
  • Open to all

Organiser: Basak Taraktas, Department of Political Science and International Relations, Bogazici University

Contact: info@instats.org

Host institution: Instats

Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University https://dresa.org.au/events/advanced-network-analysis-exponential-random-graphs-with-basak-taraktas-department-of-political-science-and-international-relations-bogazici-university This seminar provides a comprehensive exploration of Exponential Random Graph Models (ERGMs) for advanced network analysis, equipping participants with the ability to model and interpret complex network data. Led by Dr. Basak Taraktas, attendees will gain hands-on experience using R to apply these sophisticated techniques across various fields, enhancing their research capabilities. 2025-09-01 23:00:00 UTC 2025-09-03 02:00:00 UTC Basak Taraktas, Department of Political Science and International Relations, Bogazici University Instats info@instats.org [] [] [] open_to_all []