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The Multiplex Efficiency Index: unveiling the Brazilian air transportation multiplex network-BATMN
Izabela M Oliveira1,2, Laura C Carpi3,4, A P F Atman3,5,4
1Departamento de Matemática, Centro Federal de Educação Tecnológica de Minas Gerais, CEFET-MG, Av. Amazonas, 7675, Belo Horizonte, MG, CEP: 30.510-000, Brazil. izabelamarques@cefetmg.br.
We introduce the Multiplex Efficiency Index to quantify connectivity diversity in complex networks over time. This new index analyzes changes in multiplex networks, like Brazil's air transportation system, offering a standardized measure of efficiency.
Area of Science:
- Network Science
- Complex Systems Analysis
- Transportation Network Dynamics
Background:
- Modern society relies on interconnected social, economic, and technological structures forming complex networks.
- Multiplex networks, with multiple layers of interaction, require advanced tools for performance and efficiency analysis.
- Understanding diversity within multiplex networks is crucial for interdisciplinary network science.
Purpose of the Study:
- Introduce the Multiplex Efficiency Index (MEI) to quantify temporal changes in connectivity diversity.
- Analyze the evolution of multiplex networks, particularly when the number of layers changes.
- Investigate the impact of privatization and mergers on Brazil's air transportation network using the MEI.
Main Methods:
- Development of the Multiplex Efficiency Index (MEI).
- Application of the MEI to quantify temporal evolution of connectivity diversity.
- Analysis of air passenger transportation data in Brazil.
Main Results:
- The MEI quantifies temporal evolution of connectivity diversity in multiplex networks.
- The index effectively measures fluctuations in network efficiency (0-1 range) regardless of layer count.
- Analysis revealed changes in Brazil's air transportation network due to privatization and mergers.
Conclusions:
- The Multiplex Efficiency Index provides a valuable, unbiased method for evaluating multiplex network performance.
- The MEI enables quantitative analysis of temporal network evolution, independent of layer variations.
- This index is applicable to diverse multiplex networks for performance assessment and historical analysis.
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