The uncertainty underlying real-world phenomena has attracted attention toward statistical
analysis approaches. In this regard, many problems can be modeled as networks. Thus, the …

This paper compares several missing data treatment methods for missing network data on a
diverse set of simulated networks under several missing data mechanisms. We focus the …

Recent advances in computational methods for intractable models have made network data
increasingly amenable to statistical analysis. Exponential random graph models (ERGMs) …

Exponential random graph models (ERGMs) are one of the most popular statistical methods
for analysing relational network structures. ERGMs represent generative statistical network …

Molecular HIV Surveillance (MHS) has been described as key to enabling rapid responses
to HIV outbreaks. It operates by linking individuals with genetically similar viral sequences …

For different model settings we conduct power analyses on the Florentine families network of
the 15th century while referring to the most popular power indices like the Shapley-Shubik or …

In this dissertation I address the question of how social-structural network processes (such
as the structural position of network actors, social influence, and social selection) are related …