Analysis
Start by reminding the class that last time we met, several students were interested
in whether more highly-connected nodes were more likely to get sick, or more likely to die,
than less-highly-connected nodes. This fits our intuition that you are less likely to get
sick by staying home than by going to school.
We could look at the network model and roughly estimate these patterns but, just as the
population health plot makes it easier to see patterns over time, a new plot could help
us see more specifically differences in nodes of different degrees.
Emphasize that we have further developed the model as a way of following students' questions.
Today's model is the same network model we studied in the previous lesson . What's new is that we now have a plot showing how many nodes
are susceptible, infected, recovered, and dead, by degree .
Start by asking students to play with the model, noticing how the "states by degree" plot works.
This plot can be unintuitive, so it's best for students to describe in their own words what is
going on. Make sure students also explore and understand the effect of the proportion? switch.