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Exponential random graph models

Known as: Exponential random graph model 
Exponential random graph models (ERGMs) are a family of statistical models for analyzing data about social and other networks.
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Related topics

Related topics

8 relations
Degree-preserving randomizationErdős–Rényi modelNetwork scienceRandom graph

Broader (1)

Network theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Evaluation of Political Party Cohesion Using Exponential Random Graph Modeling
The United States is becoming increasingly politically divided. In addition to polarization between the two-major political… 
2017
2017
Community Detection Under Exponential Random Graph Model: A Metaheuristic Approach
Community is one of the most important features in social networks. Although many algorithms are developed for detecting… 
2016
2016
The modelling of networks using Exponential Random Graph Models: an introduction
Networks are representations of relational data. Whether the data used represents social interactions, cooperations or inter-bank… 
2013
2013
Learning Exponential Random Graph Models
Exponential Random Graphs are common, simple statistical models for social network and other structures. Unfortunately, inference… 
2013
2013
Assessing Goodness of Fit of Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have been developed for fitting social network data on both static and dynamic levels… 
2011
2011
Bayesian inference of exponential random graph models for large social networks
This paper addresses the issue of sampling from the posterior distribution of exponential random graph (ERG) models and other… 
2011
2011
Exponential random graph modeling of communication networks to understand organizational crisis
In recent social network studies, exponential random graph models have been used comprehensively to model global social network… 
2011
2011
High-dimensional Wilks phenomena in some exponential random graph models
There have been growing interests in establishing asymptotic theories for high dimensional random graph models. For certain… 
Review
2008
Review
2008
Analysis of Rural-urban Migrants' Social Network Structure Based on Exponential Random Graph Model
Using the whole network data from "Shenzhen Rural-urban Migrants Survey" in 2005,and exponential random graph model(p~*model… 
Highly Cited
2002
Highly Cited
2002
Conditional maximum likelihood estimation under various specifications of exponential random graph models
One among the major contributions by Ove Frank to the statistical analysis of social networks was the introduction, in Frank and… 
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