Graphics Reference
In-Depth Information
Figure 14-11:
Community detection analytics can work in concert with
visualization at massive scale. Here, Aperture Tiles is used to provide
interactive exploration of a product affinity graph with millions of nodes
and links. Zooming into communities reveals subcommunities of products
at 14 levels of detail.
Summary
This chapter introduced the challenges of Big Data and described strategies
forcommontypesofanalysis.Graphdatabasesandquerylanguagesprovide
a powerful and scalable interface for selecting nodes of interest and
exploring characteristics of the surrounding neighborhood.
You can extract subgraphs for visualization and further analysis. You can
use tiled approaches for situations in which there is benefit in seeing all of
the data (for example, to analyze paths in network data). Finally, you can
use community-detection algorithms coupled with expressive visualization
to provide scalable views of communities in large-scale graphs, along with
capabilities for exploratory analysis.
