Exponential Random Graph Models by Ran He and Tian Zheng
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.
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| Main image credit: | Ran He. Image plotted using R. Private file; permission to use image granted by author.
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| 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 |
| DOI: | 10.14293/S2199-1006.1.SOR-STAT.CLP5UNN.v1 |