Graph analysis and visualization : discovering business opportunity in linked data / Richard Brath, David Jonker.

Format:

Book

Author/Creator:

Brath, Richard, author.

Jonker, David, author.

Language:

English

Subjects (All):

Network analysis (Planning).

Graph theory--Data processing.

Graph theory.

Business--Data processing.

Business.

Physical Description:

1 online resource (477 pages) : color illustrations, maps

Edition:

1st edition

Place of Publication:

Indianapolis, Indiana : Wiley, 2015.

System Details:

text file

Summary:

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.

Contents:

Why graphs?

A graph for every problem

Data : collect, clean, and connect

Stats and layout

Visual attributes

Explore and explain

Point-and-click graph tools

Lightweight programming

Relationships

Hierarchies

Communities

Flows

Spatial networks

Big data

Dynamic graphs

Design.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781118845691

1118845692

9781119183662

1119183669

9781322776187

1322776180

OCLC:

902417360