You are here

Resources to help you transition to teaching online

Instructors: To support your transition to online learning, please see our resources and tools page whether you are teaching in the UK, or teaching outside of the UK.

Inspection copy update April 2020: Due to the current restrictions in place in response to COVID-19, our inspection copy policy has changed. Please refer to our updated inspection copy policy for full details. If you have recently placed an inspection copy order with us, we will be in touch to advise of any changes.

SAGE Stock Take: Please be aware SAGE Distribution (including Customer Services) will be closed from 25th-30th November. Whilst you can still place an order during this time, you order will be held for despatch until after this period. Service will resume on the 1st December.

Models for Social Networks With Statistical Applications
Share

Models for Social Networks With Statistical Applications



August 2010 | 256 pages | SAGE Publications, Inc
The study of social networks is a new but fast widening multidisciplinary area involving social, mathematical, statistical and computer sciences for application in diverse social environments; in the latter sciences, and specially for the field of Economics. It has its own parameters and methodological tools. In 'Models for Social Networks with Statistical Applications', the authors show how graph-theoretic and statistical techniques can be used to study some important parameters of global social networks and illustrate their use in social science studies with some examples in real life survey data.
 
PREFACE
 
1. Introduction to Social Network Analysis
 
2. Introduction to Digraphs
 
3. Graph-Theoretic and Statistical Models
 
4. Validation of Statistical Models
 
5. Graph-theoretic and Statistical Measures and Methods
 
6. Graph-theoretic Case Studies
 
7. Sampling and Inference in a Social Network

Too advanced. May consider for a future advanced research methods course.

Dr Tirupalavanam Ganesh
School for Engineering of Matter, Transport and Energy, Arizona State University - Tempe
September 26, 2011

This is a great text that I hope to use in a more advanced research methods class.

MICHELLE MAHON
Psychology , argosy univ
March 30, 2011

I found this textbook to be good in terms of exposing the graph theoretic background required of this research domain but the book is lagging significantly in terms of application scope. There is a need to discuss a broader spectrum of applications of SNA.

Dr Christos Makrigeorgis
School Of Management, Walden University
March 8, 2011

This book, while well written, is quite heavy on mathematical formulas and not suitable for this class. The book uses well thought out case studies and presents a unique perspective on social networks.

Mr Bob Snead
Educational Psychology Dept, University of Northern Colorado
October 1, 2010

It is a wonderful comprehensive book, but far beyond the level of my students' statistical abilities, besides, the focus was different from what I expected. We focus more on interpretation of statistical analysis than designing at this level. Thanks for the opportunity to review it.

Dr Yoko Miura
Educational Leadership Dept, Wright State University
September 23, 2010

For instructors

Select a Purchasing Option

SAGE Knowledge is the ultimate social sciences digital library for students, researchers, and faculty. Hosting more than 4,400 titles, it includes an expansive range of SAGE eBook and eReference content, including scholarly monographs, reference works, handbooks, series, professional development titles, and more.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

SAGE Knowledge brings together high-quality content from across our imprints, including CQ Press and Corwin titles.