Study of the US Road Network based on Social Network Analysis
Social and Information Networks
2017-08-29 v1 Physics and Society
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".
Cite
@article{arxiv.1708.08273,
title = {Study of the US Road Network based on Social Network Analysis},
author = {Elie Ngomseu Mambou and Samuel Nlend and Harold Liu},
journal= {arXiv preprint arXiv:1708.08273},
year = {2017}
}
Comments
5 pages double sided, 10 figures and 2 tables, Africon 2017 conference