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An Introduction to Exponential Random Graph Modeling: 173 (Quantitative Applications in the Social Sciences) - Softcover
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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 netwo
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Jenine K. Harris, PhD is an assistant professor in the Brown School at Washington University in St. Louis where she teaches biostatistics courses in the public health and social work graduate programs. She worked closely with network scientist Douglas A. Luke on the use of social network approaches to understanding public health systems. Her current research employs complex statistical network models to better understand communication networks connecting local health departments nationwide, especially social media connections. Dr. Harris has published over 40 articles in respected outlets such as the American Journal of Public Health and the American Journal of Preventive Medicine. Her 2012 article “Methods in public health services and systems research: a systematic review” was selected as one of the most notable public health systems research (PHSR) articles published in 2012 by the PHSR Interest Group at AcademyHealth.
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- VerlagSAGE Publications, Inc
- Erscheinungsdatum2013
- ISBN 10 1452220808
- ISBN 13 9781452220802
- EinbandTapa blanda
- Auflage1
- Anzahl der Seiten136
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An Introduction to Exponential Random Graph Modeling: 173 (Quantitative Applications in the Social Sciences)
Verlag:
SAGE Publications Inc, United States, Thousand Oaks
(2014)
ISBN 10: 1452220808
ISBN 13: 9781452220802
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Buchbeschreibung Paperback. Zustand: Very Good. 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 SAGEs Quantitative Applications in the Social Sciences (QASS) series, which has helped countless students, instructors, and researchers learn cutting-edge quantitative techniques. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR013080959
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