Scaling and correlations in three bus-transport networks of China

TL;DR

This paper analyzes the structural properties and scaling laws of three Chinese bus-transport networks, revealing correlations and weighted network features that characterize their topology and connectivity.

Contribution

It provides a comprehensive statistical analysis of bus-transport networks, introducing weighted network representations and exploring scaling laws and correlations.

Findings

Degree distribution follows specific scaling laws

Linear relationship between strength and degree s(k) ~ k

Weighted network analysis reveals distribution patterns

Abstract

We report the statistical properties of three bus-transport networks (BTN) in three different cities of China. These networks are composed of a set of bus lines and stations serviced by these. Network properties, including the degree distribution, clustering and average path length are studied in different definitions of network topology. We explore scaling laws and correlations that may govern intrinsic features of such networks. Besides, we create a weighted network representation for BTN with lines mapped to nodes and number of common stations to weights between lines. In such a representation, the distributions of degree, strength and weight are investigated. A linear behavior between strength and degree s(k) ~ k is also observed.