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bigergm (version 1.2.5)

Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

Description

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.

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Version

Install

install.packages('bigergm')

Monthly Downloads

248

Version

1.2.5

License

GPL-3

Maintainer

Cornelius Fritz

Last Published

October 5th, 2025

Functions in bigergm (1.2.5)

Install optional Python dependencies for bigergm

simulate.bigergm

Simulate networks under Exponential Random Graph Models (ERGMs) under local dependence

A toy network to play bigergm with.

Twitter (X) network of U.S. state legislators

bigergm: Exponential-family random graph models for large networks with local dependence

get_between_networks

Obtain the between-block networks defined by the block attribute.

Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model for big networks

Estimate between-block parameters

Kapferer collaboration network

Plot the network with the found clusters

A network of friendships between students at Rice University.

A network of friendships between students at Reed College.

Estimate a within-block network model.

get_within_networks

Obtain the within-block networks defined by the block attribute.

Bali terrorist network

Van de Bunt friendship network

Compute the adjusted rand index (ARI) between two clusterings

Compute Yule's Phi-coefficient

simulate_bigergm

Simulate networks under Exponential Random Graph Models (ERGMs) under local dependence