The Multiplex Efficiency Index: unveiling the Brazilian air transportation multiplex network—BATMN

• Published in: Scientific reports Vol. 10; no. 1; p. 13339
• Main Authors: Oliveira, Izabela M., Carpi, Laura C., Atman, A. P. F.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.08.2020; Nature Publishing Group
• Subjects: 639/705/1041; 639/766/530/2801; Air transportation; Aircraft; Airlines; Airports; Efficiency; Humanities and Social Sciences; multidisciplinary; Science; Science (multidisciplinary); Brazil
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-020-69974-0

Modern society is increasingly massively connected, reflecting an omnipresent tendency to organize social, economic, and technological structures in complex networks. Recently, with the advent of the so-called multiplex networks, new concepts and tools were necessary to better understand the characteristics of this type of system, as well as to analyze and quantify its performance and efficiency. The concept of diversity in multiplex networks is a striking example of this intrinsically interdisciplinary effort to better understand the nature of complex networks. In this work, we introduce the Multiplex Efficiency Index, which allows quantifying the temporal evolution of connectivity diversity, particularly when the number of layers of the multiplex network varies over time. Using data related to air passenger transportation in Brazil we investigate, through the new index, how the Brazilian air transportation network has being changing over the years due to the privatization processes of airports and mergers of airlines in Brazil. Besides that, we show how the Multiplex Efficiency Index is able to quantify fluctuations in network efficiency in a non-biased way, limiting its values between 0 and 1, taking into account the number of layers in the multiplex structure. We believe that the proposed index is of great value for the evaluation of the performance of any multiplex network, and to analyze, in a quantitative way, its temporal evolution independently of the variation in the number of layers.