An Introduction to Exponential Random Graph Modeling

Download or Read eBook An Introduction to Exponential Random Graph Modeling PDF written by Jenine K. Harris and published by SAGE Publications. This book was released on 2013-12-23 with total page 138 pages. Available in PDF, EPUB and Kindle.
An Introduction to Exponential Random Graph Modeling
Author :
Publisher : SAGE Publications
Total Pages : 138
Release :
ISBN-10 : 9781483322056
ISBN-13 : 148332205X
Rating : 4/5 (56 Downloads)

Book Synopsis An Introduction to Exponential Random Graph Modeling by : Jenine K. Harris

Book excerpt: 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.


An Introduction to Exponential Random Graph Modeling Related Books

An Introduction to Exponential Random Graph Modeling
Language: en
Pages: 138
Authors: Jenine K. Harris
Categories: Social Science
Type: BOOK - Published: 2013-12-23 - Publisher: SAGE Publications

DOWNLOAD EBOOK

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 bas
An Introduction to Exponential Random Graph Modeling
Language: en
Pages: 138
Authors: Jenine K. Harris
Categories: Social Science
Type: BOOK - Published: 2013-12-23 - Publisher: SAGE Publications

DOWNLOAD EBOOK

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 bas
An Introduction to Exponential Random Graph Modeling
Language: en
Pages: 0
Authors: Jenine K. Harris
Categories:
Type: BOOK - Published: 2014 - Publisher:

DOWNLOAD EBOOK

Exponential Random Graph Models for Social Networks
Language: en
Pages: 361
Authors: Dean Lusher
Categories: Business & Economics
Type: BOOK - Published: 2013 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).
Inferential Network Analysis
Language: en
Pages: 317
Authors: Skyler J. Cranmer
Categories: Business & Economics
Type: BOOK - Published: 2020-11-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.