Graphics Reference
In-Depth Information
Flow data sets, with an element of time, can quickly become Big Data. In
such cases, we have used different strategies for dealing with these dynamic
flow graphs, such as clustering.
Figure 1-4
shows a recent application for
investigating money flow between entities.
Figure 1-4:
This flow graph shows money flow over time between
different entities.
Note
This particular example is discussed in detail in Chapter 15, “Dynamic
Graphs.”
These graph examples are about finding and understanding anomalies such
as unexpected links and unexpected flows. Identifying fraudulent activity
and understanding paths through websites are examples of applications of
this kind of graph analysis. Finding these anomalies can aid business by
improving efficiencies, such as reducing losses or reducing clicks.
Managing Networks and Supply Chains
Pipelines, electrical systems, and railway networks are all large-scale
physical networks. They are capital-intensive with large upfront costs that
must be recovered through efficient operation. Similarly, large
manufacturing and distribution networks have significant investments in
