I first became interested in networks when reading Matthew O’Jackson’s 2010 paper describing their application to economics. During the 2014 ebola outbreak, there was a lot of concern over the disease spreading to the U.S.. I was caught up with work/classes at the time, but decided to use airline flight data to at least explore the question.
The source for the data can be found in a previous post on spatial data visualization.
I assumed that the disease had a single origin (Liberia) and wanted to explore the question of how the disease could travel to the U.S. through a network of airline flights.
A visualization of the network can be seen below. Each node is a country and each edge represents an existing airline route from one country to another. Flights that take off and land in the same country are omitted to avoid clutter.