Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Compute the adjusted rand index (ARI) between two clusterings
bigergm: Exponential-family random graph models for large networks wit...
Estimate between-block parameters
Estimate a within-block network model.
Obtain the between-block networks defined by the block attribute.
Obtain the within-block networks defined by the block attribute.
Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Gra...
Plot the network with the found clusters
Install optional Python dependencies for bigergm
Simulate networks under Exponential Random Graph Models (ERGMs) under ...
Simulate networks under Exponential Random Graph Models (ERGMs) under ...
Compute Yule's Phi-coefficient
A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.