Abstract
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”.