Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data
Authors: Richard Brath, David Jonker
- 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.
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.
DOWNLOAD CHAPTER 1 (.PDF):1 Graph Analysis and Visualization sample material
|ReadMe||10.08 KB||Click to Download|
|ChannelFlipping||581.83 KB||Click to Download|
|CPI||663.44 KB||Click to Download|
|FlightStats||12.76 MB||Click to Download|
|HR||1.27 MB||Click to Download|
|MarketBasket||16.67 MB||Click to Download|
|Movies||25.01 MB||Click to Download|
|NetworkLogs||301.09 KB||Click to Download|
|Occupations||3.62 MB||Click to Download|
|PythonClean||653 bytes||Click to Download|
|PythonEmail||584.06 KB||Click to Download|
|PythonNodes||6.69 KB||Click to Download|
|Stocks||134.50 KB||Click to Download|
|TradeFlow||522.46 KB||Click to Download|
|ViralMarketing||152.33 KB||Click to Download|
|Chapters 12-13 Download||64.62 MB||Click to Download|
Here is the link to Chapter 14 code download.