Models for Social Networks With Statistical Applications
eBook - ePub

Models for Social Networks With Statistical Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Models for Social Networks With Statistical Applications

About this book

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 analysis ("SNA"). They also offer relevant sampling and inferential aspects of the techniques while dealing with potentially large networks.

Intended Audience

This supplemental text is ideal for a variety of graduate and doctoral level courses in social network analysis in the social, behavioral, and health sciences

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Yes, you can access Models for Social Networks With Statistical Applications by Suraj Bandyopadhyay,A R. Rao,Bikas K. Sinha in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Table of Contents
  5. About the Authors
  6. Preface
  7. Chapter 1: Introduction to Social Network Analysis
  8. Chapter 2: Introduction to Digraphs
  9. Chapter 3: Graph-Theoretic and Statistical Models
  10. Chapter 4: Validation of Statistical Models
  11. Chapter 5: Graph-Theoretic and Statistical Measures and Methods
  12. Chapter 6: Graph-Theoretic Case Studies
  13. Chapter 7: Sampling and Inference in a Social Network
  14. Networks and Notional Diagrams
  15. Author Index
  16. Subject Index