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Models for Social Networks With Statistical Applications

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.
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.

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

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