Graphics Reference
In-Depth Information
Table P3-1
: Overview
Topic
Description
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 can be
plotted directly based on the spatial coordinates associated
with the nodes and links. Because the relative position of
nodes is predetermined, there can be challenges and
specific approaches for working with this data.
