Practical Social Network Analysis with Python

• Main Authors: Raj P.M., Krishna (Author, http://id.loc.gov/vocabulary/relators/aut), Mohan, Ankith (http://id.loc.gov/vocabulary/relators/aut), Srinivasa, K.G (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Computer Communications and Networks,
• Subjects: Computer communication systems.; Python (Computer program language).; Computer Communication Networks.; Python.

This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering...

Table of Contents:

• Chapter 1. Basics of Graph Theory
• Chapter 2. Graph Structure of the Web
• Chapter 3. Random Graph Models
• Chapter 4. Small World Phenomena
• Chapter 5. Graph Structure of Facebook
• Chapter 6. Peer-To-Peer Networks
• Chapter 7. Signed Networks
• Chapter 8. Cascading in Social Networks
• Chapter 9. Influence Maximisation
• Chapter 10. Outbreak Detection
• Chapter 11. Power Law
• Chapter 12. Kronecker Graphs
• Chapter 13. Link Analysis
• Chapter 14. Community Detection
• Chapter 15. Representation Learning on Graph.