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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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Papers overview

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2018
2018
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they… 
2017
2017
Applying the exponential random graph model (Robins et al. 2007) to the investment data of Japanese venture capital (VC) firms… 
2017
2017
The exponential random graph is arguably the most popular model for the statistical analysis of network data. However despite its… 
2016
2016
Networks are representations of relational data. Whether the data used represents social interactions, cooperations or inter-bank… 
2016
2016
The increasingly booming online social networks promote the development of online health forum. People tend to solve kinds of… 
2016
2016
Understanding social networks is increasingly important in a world dominated by social media and access to enormous amounts of… 
2016
2016
  • J. Zhu
  • 2016
  • Corpus ID: 265096568
Copyright and reuse: The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick… 
2012
2012
Exponential random graph models (ERGMs) treat the network structure as endogenous and a topic of research interest (Frank and… 
2011
2011
There have been growing interests in establishing asymptotic theories for high dimensional random graph models. For certain… 
Review
2008
Review
2008
Using the whole network data from "Shenzhen Rural-urban Migrants Survey" in 2005,and exponential random graph model(p~*model…