Analysis of the Complex Characteristics of the New York City Subway Network

Abstract

Complex networks are important to the real world. Complex networks are instructive for the study of real networks such as metro networks, social networks and information networks. This paper study the New York City subway network and use complex network theory to research the static properties of subway complex network. Conclude that 79% of the nodes in the New York City subway network have degree 2, the network diameter is 59, more than 90% of the network nodes have a clustering coefficient of 0, the standard robustness of the network is 0.326, and the average shortest path length of the network is 18.38. This paper use deliberate attacks and random attacks on the network to study the dynamic Properties. The New York City subway network sites have good robustness against random attacks. In contrast, the network exhibits vulnerability when the maximum mesonumber nodes are targeted for deliberate attacks, and the entire network will be nearly paralyzed when more mesonumber nodes fail.