Exponential Random Graph Models for Social Networks
Theory, Methods, and Applications
Part of Structural Analysis in the Social Sciences
- Editors:
- Dean Lusher, Swinburne University of Technology, Victoria
- Johan Koskinen, University of Manchester
- Garry Robins, University of Melbourne
- Date Published: January 2013
- availability: Available
- format: Paperback
- isbn: 9780521141383
Paperback
Other available formats:
Hardback, eBook
Looking for an inspection copy?
This title is not currently available on inspection
-
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.
Read more- A self-contained book exclusively on the topic of exponential random graph models
- Addresses theory, method and applications of exponential random graph models
Reviews & endorsements
'I've been waiting impatiently for this book and I was definitely not disappointed. Finally we have a sourcebook on ERGMs that is both comprehensive and comprehensible. Most of the chapters are written for quantitative researchers who are not statisticians. Many illustrative empirical applications are worked through. Software packages are discussed. For the researcher who is intrigued by the possibility of analyzing network data with an ERGM, or who is already trying to do so, this is an indispensable resource.' Peter Carrington, University of Waterloo
See more reviews'This collection offers readers an intuitive understanding of ERGMs, followed by a formal explanation of their statistical underpinnings as well as a methodological cookbook based on current software. Next, network scholars at the forefront of advancing theoretical and methodological contributions present eight compelling empirical studies. These studies illustrate how ERGMs offer exciting opportunities to advance theoretical understandings of network phenomena at the intra-organizational, inter-organizational, and societal levels.' Noshir Contractor, Jane S. and William J. White Professor of Behavioral Sciences, Northwestern University
'p*, the exponential family of random graph distributions introduced by Frank and Strauss in 1986, has indeed become the best statistical model in network science. This edited volume is a must-have - Lusher, Koskinen, and Robins have put together a thorough compilation for both the p* novice and enthusiast. It is the handbook to own - and use!' Stanley Wasserman, Indiana University
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: January 2013
- format: Paperback
- isbn: 9780521141383
- length: 360 pages
- dimensions: 226 x 152 x 23 mm
- weight: 0.48kg
- contains: 71 b/w illus.
- availability: Available
Table of Contents
Introduction Dean Lusher, Johan Koskinen and Garry Robins
1. What are exponential random graph models Garry Robins and Dean Lusher
2. The formation of social network structure Dean Lusher and Garry Robins
3. A simplified account of ERGM as a statistical model Garry Robins and Dean Lusher
4. An example of ERGM analysis Dean Lusher and Garry Robins
5. Exponential random graph model fundamentals Johan Koskinene and Galina Daraganova
6. Dependence graphs and sufficient statistics Johan Koskinen and Galina Daraganova
7. Social selection, dyadic covariates and geospatial effects Garry Robins and Galina Daraganova
8. Autologistic actor attribute models Galina Daraganova and Garry Robins
9. ERGM extensions: models for multiple networks and bipartite networks Peng Wang
10. Longitudinal models Tom Snijders and Johan Koskinen
11. Simulation, estimation and goodness of fit Johan Koskinen and Tom Snijders
12. Illustrations: simulation, estimation and goodness of fit Garry Robins and Dean Lusher
13. Personal attitudes, perceived attitudes and social structures: a social selection model Dean Lusher and Garry Robins
14. How to close a hole: exploring alternative closure mechanisms in inter-organizational networks Alessandro Lomi and Francesca Pallotti
15. Interdependencies between working relations: multivariate ERGMs for advice and satisfaction Yu Zhao and Olaf Rank
16. Brain, brawn or optimism? The structure and correlates of emergent military leadership Yuval Kalish and Gil Luria
17. An ALAAM analysis of unemployment: the dual importance of who you know and where you live Galina Daraganova and Philippa Pattison
18. Longitudinal changes in face-to-face and text message-mediated friendship networks Tasuku Igarashi
19. The differential impact of directors' social and financial capital on corporate interlock formation Nicholas Harrigan and Matthew Bond
20. Comparing networks: a structural correspondence between behavioural and recall networks Eric Quintane
21. Modelling social networks: next steps Philippa Pattison and Tom Snijders.
Related Books
related journals
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×