In this final section of the chapter, we're going to apply many of the statistics we've just reviewed to our school classroom data and begin to gain a greater understanding of the network beyond our earlier visual assessments. Even better, we will use the power of filtering in tandem with the graph statistics to begin using Gephi in an even more sophisticated fashion. We'll start this section with some fairly straightforward examples, and then move on to more complex analysis using the available filtering options.
We're going to work once again with the primary school dataset as we will illustrate the practical application of many of these statistics. We'll proceed in the following order:
The first section will apply some of the network-oriented measures that will inform us about the general structure of the graph
Our second section will view several of the centrality statistics and compare how individual nodes are classified...