Graph Analysis and Visualization (eBook)

Discovering Business Opportunity in Linked Data

Richard Brath, David Jonker (Autoren)

eBook Download: PDF

2015 | 1. Auflage
544 Seiten
John Wiley & Sons (Verlag)
978-1-118-84569-1 (ISBN)

Infos

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.

Autor

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.

Inhalt

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

Produkt-Details

• Erscheint lt. Verlag: 20.1.2015
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Schlagworte: Computer Science • Database & Data Warehousing Technologies • Data Mining • Data Mining & Knowledge Discovery • Data Mining u. Knowledge Discovery • Datenbank • Datenbanken u. Data Warehousing • Graphentheorie • graph theory • Informatik • Mathematics • Mathematik • Visualisierung
• ISBN-10: 1-118-84569-2 / 1118845692
• ISBN-13: 978-1-118-84569-1 / 9781118845691