Graph Analysis and Visualization (PDF)

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.