Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

ISBN-13: 9781118845844 / Angielski / Miękka / 2015 / 544 str.

Richard Brath; David Jonker

Opis

Wring 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 physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers.

• Study graphical examples of networks using clear and insightful visualizations
• Analyze specifically-curated, easy-to-use data sets from various industries
• Learn the software tools and programming languages that extract insights from data
• Code examples using the popular Python programming language

There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences - until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

Spis treści

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

O autorze

Richard Brath is actively involved in the research, design, and development of data visualization and visual analytics for both research and commercial applications for some of the world s largest companies and top software vendors. His solutions range from rich, interactive visualizations for mobile devices, to large multi–touch, multi–screen installations and web–based analytical visualizations for business applications. David Jonker is a designer and developer of visualization platforms and applications for web–based, distributed, desktop, and mobile use. He created visualization products for NASDAQ MarketSite real–time broadcast in Times Square, and is currently a lead on the DARPA XDATA program, developing new tools and technologies for making sense of Big Data. Brath and Jonker are partners at a leading visual analytics firm. Between them they have presented at more than 30 industry conferences, and have published numerous articles and research papers.

Blurb

Connect the dots in your business data to discover actionable insights

Graph Analysis and Visualization brings graph and network theory out of the lab into the real world, with sophisticated methods and tools that apply to the worlds of business, finance, strategy, and design. Authors Richard Brath and David Jonker bring high–level expertise and a true analyst s perspective to provide a handbook for exploiting graph and network analytic techniques that enable the discovery of new business insights and opportunities.

This informative, authoritative guide describes the process of creating powerful visualizations step–by–step, illustrated with engaging real–world examples from sports, finance, marketing, security, social media, and more. Detailed coverage includes examples of different software, tools, and programming languages that help you extract more information from the data, including Gephi, CytoScape, and D3.js, with sample Python and JavaScript code available for immediate download and use. You ll learn how to take the data you have and perform network analysis, use the mathematical elements of graph theory to extract valuable insight, and use visual design techniques to better communicate the information to decision makers.

With detailed examples, sample data sets, code, and graphic tutorials, Graph Analysis and Visualization shows you how to:

• Use the appropriate type of graph for every problem
• Collect, clean, and organize data quickly, efficiently, and correctly
• Format visualizations for high readability without sacrificing accuracy
• Master the tools that allow deep data exploration and interpretation
• Create custom visualizations with a little lightweight programming
• Choose effective graph analysis techniques to get the most out of your data
• Utilize advanced visualization techniques including dynamic graphs and Big Data tools and queries