  The Internet's importance for promoting free and open communication has led
to widespread crackdowns on its use in countries around the world. In this
study, we investigate the relationship between national policies around freedom
of speech and Internet topology in countries around the world. We combine
techniques from network measurement and machine learning to identify features
of Internet structure at the national level that are the best indicators of a
country's level of freedom. We find that IP density and path lengths to other
countries are the best indicators of a country's freedom. We also find that our
methods predict freedom categories for countries with 91% accuracy.
