What is ERGM used for?
Exponential family random graph models (ERGMs) are a family of statistical models for analyzing data from social and other networks. Examples of networks examined using ERGM include knowledge networks, organizational networks, colleague networks, social media networks, networks of scientific development, and others.
What is Gwesp?
The GWESP statistic The GWESP (Geometrically-Weighted Edgewise Shared Partnerships) statistic, which models triad closure, is calculated as follows (see Hunter 2007): Where α is the GWESP decay parameter, and pi is the number of actor pairs who have exactly i shared (edgewise) partners.
What is Statnet?
statnet is a suite of R packages for the management, exploration, statistical analysis, simulation and vizualization of network data. Our statistical modeling framework relies on Exponential-family Random Graph Models (ERGMs).
What is the format of the ERGM command?
# The format of the ergm command is ergm (YourNetwork ~ Signature1 + Signature2 + …) # where YourNetwork can be a matrix or a network object.
What can you do with the ERGM package?
We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and interrelated, tasks involving exponential-family random graph models (ERGMs): estimation, simulation, and goodness of fit.
How do you calculate model terms in ERGM?
For ergm, the formulashould be of the form network object ~ + + where the model terms determine the elements of the g(y) vector. The ergmfunction allows many possible model terms other than edges; a complete catalog is given in Morris et al.(2008).
What is the default method used by ERGM to choose θ0?
Pseudolikelihood The default method used by ergmto choose θ0is pseudolikelihood estimation, originally motivated by, and developed for, spatial models (Besag 1974). The idea is to use an alternative local approximation to the likelihood function referred to as the pseudolikelihood.