  The complexity of big data structures and networks demands more research in
terms of analysing and representing data for a better comprehension and usage.
In this regard, there are several types of model to represent a structure. The
aim of this article is to use a social network topology to analyse road network
for the following States in the United States, US:
  California, Pennsylvania and Texas. Our approach mainly focuses on clustering
of road network data in order to create "communities".
