3 papers
stat.CO2019
A Simple Algorithm for Scalable Monte Carlo Inference
Alexander Borisenko, Maksym Byshkin, Alessandro Lomi
The methods of statistical physics are widely used for modelling complex networks. Building on the recently proposed Equilibrium Expectation approach, we derive a simple and effici…
stat.AP2018
Beyond Homophily: Incorporating Actor Variables in Actor-oriented Network Models
Tom A. B. Snijders, Alessandro Lomi
We consider the specification of effects of numerical actor attributes in statistical models for directed social networks. A fundamental mechanism is homophily or assortativity, wh…
stat.ME2018
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data
Maksym Byshkin, Alex Stivala, Antonietta Mira +2
A major line of contemporary research on complex networks is based on the development of statistical models that specify the local motifs associated with macro-structural propertie…