Study of the US Road Network based on Social Network Analysis

TL;DR

This paper applies social network analysis techniques to US road networks, focusing on clustering and community detection in California, Pennsylvania, and Texas to better understand their structural properties.

Contribution

It introduces a novel approach of using social network topology for analyzing and clustering road networks in specific US states.

Findings

Identification of community structures within the road networks

Enhanced understanding of road network topology

Potential applications for transportation planning

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".