This part of the book considers some of different types of graphs and example of associated analyses over the next five chapters. Table P3-1 provides a broad overview of these chapters.
Table P3-1: Overview
|Relationships (Chapter 9)||Graphs may have any number of links between a pair of nodes. For some types of applications (such as fraud analysis), it is important to keep all links between these nodes and have techniques to analyze the many different connections.|
|Hierarchies (Chapter 10)||Beyond organizational charts, hierarchies are used in many applications to organize data. Hierarchies are a unique type of graph. They can have unique representations (such as treemaps) or be used in combination with other types of graphs (such as visitor path analysis).|
|Communities (Chapter 11)||The clustering of nodes in graphs reveals communities. Enhancing node and link data, filtering, grouping, and additional analytic techniques can help refine the qualities to define these communities and make them visually apparent (such as in social network data).|
|Flows (Chapter 12)||Graphs are often used to indicate flows between nodes, whether communications, money global trade, or web traffic. Flow visualization has unique representations and associated analyses such as Sankey diagrams and chord diagrams.|
|Spatial Networks (Chapter 13)||For graphs based on spatial data (such as airline traffic, electrical grids, or brain topography), the data ...|