Decomposing multilayer transportation networks using complex network analysis: a case study for the Greek aviation network

Abstract

This article studies the topology of the multiplex Greek Aviation Network (GAN) consisting of layers representing networks of the aviation companies that operate in the regional Greek aviation market, by using complex network analysis and empirical techniques. The purpose of the study is to decode the strategic plans of the aviation companies constituting multiplex network's layers and to evaluate which layer contributes more in the composition of the overlaid GAN. Secondarily, this paper evaluates the operational utility of a new centrality measure, named mobility centrality, regarding its ability to quantify the potential that a node attribute induces to the topology of the network. Under an overall assessment, this article advances multilayer network analysis by applying a multivariate regression technique for evaluating in common the participation of each layer to the formation of the overlaid network and it provides insights on transportation management and policy.