Exponential random graph models (ERGMs) are a family of statistical models for analyzing data about social and other networks by directly modeling network structures and features. These models represent a probability distribution on each possible network on a given number of nodes and the distribution is in exponential family.
|Main image credit:|
Ran He. Image plotted using R. Private file; permission to use image granted by author.
|Background image credit:|
Nicoguaro. Pi 30K.gif. Monte Carlo method applied to approximating the value of π. After placing 30,000 random points, the estimate for π is within 0.07% of the actual value. Wikimedia Commons. CC BY 3.0.
|ScienceOpen disciplines:||Social & Information networks, Statistics, Mathematical modeling & Computation|
|Keywords:||Social Networks, Graphs, Exponential Family, Markov Chain Monte Carlo|