Graph Analysis and Visualization brings graph theory outof the lab and into the real world. Using sophisticated methods andtools that span analysis functions, this guide shows you how toexploit graph and network analytic techniques to enable thediscovery of new business insights and opportunities. Published infull color, the book describes the process of creating powerfulvisualizations using a rich and engaging set of examples fromsports, finance, marketing, security, social media, and more. Youwill find practical guidance toward pattern identification andusing various data sources, including Big Data, plus clearinstruction on the use of software and programming. The companionwebsite offers data sets, full code examples in Python, and linksto all the tools covered in the book.
Science has already reaped the benefit of network and graphtheory, which has powered breakthroughs in physics, economics,genetics, and more. This book brings those proven techniques intothe world of business, finance, strategy, and design, helpingextract more information from data and better communicate theresults to decision-makers.
- Study graphical examples of networks using clear and insightfulvisualizations
- Analyze specifically-curated, easy-to-use data sets fromvarious industries
- Learn the software tools and programming languages that extractinsights from data
- Code examples using the popular Python programminglanguage
There is a tremendous body of scientific work on network andgraph theory, but very little of it directly applies to analystfunctions outside of the core sciences – until now. Writtenfor those seeking empirically based, systematic analysis methodsand powerful tools that apply outside the lab, Graph Analysisand Visualization is a thorough, authoritative resource.
Keywords: Database & Data Warehousing Technologies, Graph Analysis and Visualization, Richard Brath, David Jonker, Oculus, DARPA, network and graph theory, data analysis, data visualization, Big Data, business data, data science, graph analytics, data analysis software, Python for data, example data sets, data network examples, data pattern recognition, pattern analysis, pattern identification, finance data, data communication, network analytics, scientific analysis techniques, data management, data analysis tools, data analysis techniques, data analysis website