You are here

Models for Social Networks With Statistical Applications

Models for Social Networks With Statistical Applications

June 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

Suraj Bandyopadhyay

Suraj Bandyopadhyay (Ph.D., Sociology, McGill University, Montreal, Canada) was, before his retirement, Professor of Sociology and Head, Sociological Research Unit, Indian Statistical Institute, Kolkata. He is currently attached to Sociological Research Unit and Statistics-Mathematics Unit, Indian Statistical Institute, Kolkata, as an Honorary Visiting Scientist. For his academic performance in McGill University he was awarded Bobbs-Merrill Award in Sociology in 1968. He had received a number of academic invitations and Fellowships from different international institutions like Canadian International Development Agency (CIDA, Ottawa),... More About Author

A Ramachandra Rao

A. Ramachandra Rao (Ph.D., Indian Statistical Institute) is a Professor in the Division of Theoretical Statistics and Mathematics of the Indian Statistical Institute at Kolkata. He was a Visiting assistant professor in the University of Minnesota for one year.  He published more than 25 research papers in Graph Theory, is a joint author of a book on Linear Algebra at the honours level and edited the Proceedings of three Conferences on Graph Theory. His major interests are Graph Theory and its Applications to Social Sciences and Linear Algebra. More About Author

Bikas K. Sinha

  Bikas K Sinha (Ph.D., Statistics, Calcutta University) is a Professor of Statistics in the Division of Theoretical Statistics and Mathematics of the Indian Statistical Institute, Kolkata. He was a recipient of PCMahalanobis Medal in 1980. He has served as an Expert on Mission in Survey Methodology for the United Nations and has also served as a Consultant for US Environmental Protection Agency [EPA]. He has traveled extensively and visited a host of universities in USA, Canada, Germany, Finland, Poland and other countries as a Visiting Faculty / Research Collaborator.  He has more than 110 research articles in refereed journals... More About Author

Purchasing options

Please select a format:

ISBN: 9781412941686

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.