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. This book 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. An Introduction to Exponential Random Graph Modeling is a
part of SAGE's Quantitative Applications in the Social Sciences
(QASS) series, which has helped countless students, instructors,
and researchers learn cutting-edge quantitative techniques.
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