Novel Approaches to Degeneracy in Network Models

Timothy Blackburn
PhD, 2021
Handcock, Mark S
As technology advances, the manner in which humans communicate and collaborate becomes increasingly intricate and the study of complex networks becomes ever important. Exponential-family Random Graph Models (ERGMs) have long been at the forefront of the analysis of relational data due to their interpretability, flexibility, and strong theoretical foundation. However, ERGMs sometimes suffer from a serious condition known as degeneracy, in which the model exhibits unrealistic behavior or a severe lack-of-fit to the observed data if it can even be fit at all.
2021