Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

The book describes how to use graph analytics and visualization techniques to generate novel insights from a variety of data sources, including Big Data.  The book takes users through concrete examples drawn from the worlds of business, sports, finance, security and social media to go from data to insights and communication. It contains real-world examples of how networks are being used in some of the biggest tech companies,  in sports, and on Wall Street (among others). The book will also have the added benefit of showing how to create beautiful visualizations that communicate discovered patterns and connections that decision-makers can exploit. The book will include: 1. Graphical examples of the networks using clear and insightful visualizations. 2. Clear, engaging and easy to use data sets that have been curated for the purpose of network analysis. e.g. predicting pitches for MLB teams; targeting business acquisitions, and more. 3. Examples of different software tools and programming languages you can use to extract insight from the data e.g. Gephi, NodeXL, D3. 4.  Code examples using the popular Python programming language.   All of the code examples and related data sets will be provided on the book's companion website.