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An Introduction to Exponential Random Graph Modeling: Quantitative Applications in the Social Sciences, cartea 173

Autor Jenine K. Harris
en Limba Engleză Paperback – 17 feb 2014
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. By using examples from public health, this book walks the reader through the process of ERGM model-building using R statistical software and the statnet package.
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Specificații

ISBN-13: 9781452220802
ISBN-10: 1452220808
Pagini: 136
Ilustrații: Illustrations
Dimensiuni: 140 x 216 x 7 mm
Greutate: 0.16 kg
Ediția:New.
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

1. The Promise and Challenge of Network Approaches
2. Statistical Network Models
3. Building a Useful Exponential Random Graph Model
4. Extensions of the Basic Model for Directed Networks and Using Dyadic Attributes as Predictors
5. Conclusion and Recommendations

Notă biografică


Descriere

Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely sophisticated volume for examining social systems.