Viewing a contagion network

Now it's time to use Gephi for creating and viewing a network where we begin to understand the spread of a contagious disease. It is critical to view more than a single network instance to best understand the contagion process. We'll view a single network at multiple points in time, given the temporal nature of infectious disease, to understand how nodes act within a specific time window (the contagious stage of the disease) in spreading the infection. As we noted earlier, even then, the spread of the disease is not inevitable, as it is dependent on the probability of transmission throughout a network.

Let's outline the necessary elements we'll need to build a useful contagion network:

• A network of nodes with some level of contact within a given period: For our example, let's set the number of nodes to 50, so we have some ability to view the spread of the disease without making our network overly complex. We'll use the Random Graph... generator in Gephi as a proxy...