  The analysis of social networks, can lead to important discoveries concerning
society and trends. Can in fact imply the discovery of several new aspects of
social behavior, as well as understanding the interest behind certain topics.
Facebook, is now used worldwide, by approximately 3 billions of users, and has
become one of the main sources of information. For analyzing facebook data, not
only worldwide scales are important, but it is crucial to interpret local data
behavior. In this paper we address and analyse Facebook at a regional
dimensionality of Facebook, and evaluate the properties of regional Facebook as
a small world network. To do this, we propose a novel approach a novel
experimental setup, to simulate worldwide known Milgram six degrees of
separation experiment. The novel repeated sampling random procedure proposed to
reproduce the Milgram experiment showed promising and interesting results,
allowing to evaluate the regional Facebook scale.
