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 ...
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