Written by a sociologist, a graph theorist, and a statistician, this title provides social network analysts and students with a solid statistical foundation from which to analyze network data. Clearly demonstrates how graph-theoretic and statistical techniques can be employed to study some important parameters of global social networks. The authors uses real life village-level social networks to illustrate the practicalities, potentials, and constraints of social network analysi...
Table of Content
PREFACE
1. Introduction to Social Network Analysis
2. Introduction to Digraphs
3. Graph-Theoretic and Statistical Models
4. Validation of Statistical Models
5. Grap...
About the author
Bikas K Sinha (Ph.D., Statistics, Calcutta University) is a Professor of Statistics in the Division of Theoretical Statistics and Mathematics of the Indian Statisti...