Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

Part 4 Advanced Techniques

The chapters in this book have thus far dealt with the application of fundamental graph techniques, with an emphasis on venturing outside the boxed confines of classic approaches to find the most effective solution to a particular problem. This chapter covers issues on the frontier of research and development of graph technologies and tools, as well as core principles to consider when executing graph design. These are also areas of particularly keen interest to the authors. Table P4-1 provides a summary of topics covered in the following chapters.

Table P4-1: Advanced Graph Techniques

Topic	Example	Description
Big Data (Chapter 14)		Standard in-memory graph approaches quickly break down with Big Data. Unique technologies and techniques are required, guided by a clear vision of what the goals are. Chapter 14, “Big Data,” describes how graph databases and query languages can be used to dynamically retrieve and analyze specific subgraphs of interest. Equally important techniques for exploring massive graphs visually are also discussed.
Dynamic Graphs (Chapter 15)		Understanding graph change is a difficult problem for which graph tools often provide little support. Use of animation to evolve a graph from one state to another can be viscerally compelling ...