An Introduction to Exponential Random Graph Modeling

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An Introduction to Exponential Random Graph Modeling (Quantitative Applications in the Social Sciences)

This volume introduces the basic concepts of Exponential Random Graph Modeling (ERGM), gives examples of why it is used, and shows the reader how to conduct basic ERGM analyses in their own research. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally used in social network analysis. Although it was developed to handle the inherent non-independence of network data, the results of ERGM are interpreted in similar ways to logistic regression, making this a very useful method for examining social systems. Recent advances in statistical software have helped make ERGM accessible to social scientists, but a concise guide to using ERGM has been lacking. An Introduction to Exponential Random Graph Modeling, by Jenine K. Harris, fills that gap, by using examples from public health, and walking the reader through the process of ERGM model-building using R statistical software and the statnet package.
Country USA
Brand Sage Publications
Manufacturer SAGE Publications, Inc
Binding Paperback
ItemPartNumber 9781452220802
ReleaseDate 2013-12-23
UnitCount 1
EANs 9781452220802

Country	USA
Brand	Sage Publications
Manufacturer	SAGE Publications, Inc
Binding	Paperback
ItemPartNumber	9781452220802
ReleaseDate	2013-12-23
UnitCount	1
EANs	9781452220802

An Introduction to Exponential Random Graph Modeling (Quantitative Applications in the Social Sciences)

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