Description
Book SynopsisWring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book.
Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physic
Table of Contents
Introduction xvii
PART 1 Overview
Chapter 1 Why Graphs? 3
Chapter 2 A Graph for Every Problem 27
PART 2 Process and Tools
Chapter 3 Data--Collect, Clean, and Connect 55
Chapter 4 Stats and Layout 87
Chapter 5 Visual Attributes 125
Chapter 6 Explore and Explain 157
Chapter 7 Point-and-Click Graph Tools 187
Chapter 8 Lightweight Programming 223
PART 3 Visual Analysis of Graphs
Chapter 9 Relationships 275
Chapter 10 Hierarchies 293
Chapter 11 Communities 315
Chapter 12 Flows 351
Chapter 13 Spatial Networks 389
PART 4 Advanced Techniques
Chapter 14 Big Data 419
Chapter 15 Dynamic Graphs 449
Chapter 16 Design 473
Glossary 497
Index 501
