Social Networks
eBook - ePub

Social Networks

Modelling and Analysis

  1. 236 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Social Networks

Modelling and Analysis

Book details
Table of contents
Citations

About This Book

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making.

Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed.

Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

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Yes, you can access Social Networks by Niyati Aggrawal, Adarsh Anand in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Redes de computadoras. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2022
ISBN
9781000540000
Edition
1
Topic
Ciencia de la computación
Subtopic
Redes de computadoras

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. Acknowledgements
  9. Authors
  10. Chapter 1 Introduction to Social Networks
  11. Chapter 2 Network Statistics and Related Concepts
  12. Chapter 3 Network Models
  13. Chapter 4 Network Centrality
  14. Chapter 5 Link Analysis
  15. Chapter 6 Link Prediction
  16. Chapter 7 Community Detection
  17. Chapter 8 Ego Networks
  18. Chapter 9 Network Cohesion
  19. Chapter 10 Information Diffusion
  20. Chapter 11 Security and Privacy in Social Networks
  21. Chapter 12 Social Network Analysis Tools
  22. Index