Análise de redes sociais aplicada aos aeroportos brasileiros
Social network analysis for Brazilian airports
DOI:
https://doi.org/10.22167/2675-441X-2025849Keywords:
Operational Research, Social Network Analysis (SNA), Business Intelligence (BI)Abstract
Air traffic in Brazil grew significantly in 2020 and 2021 despite the impact of COVID. We have seen a resumption of growth in this segment throughout the following years. Considering this growth, it is necessary to analyze the air network to identify important airports. A detailed analysis of the air network was conducted using Social Network Analysis (SNA) to identify these airports, based on data provided by the National Civil Aviation Agency (ANAC). Among all the metrics used, centrality, betweenness, and closeness metrics stand out, as they help identify relevant airports. The study considered two perspectives, weighing the network by the number of takeoffs and by the number of paying passengers. Among the results obtained, in addition to confirming the importance of the Guarulhos and Campinas airports, other non-obvious findings were identified. Notably, Manaus Airport and smaller airports such as São Gonçalo do Amaral and Várzea Grande were also highlighted as relevant by the analysis. These results demonstrate the necessity of the analysis presented throughout the paper and can serve as a basis for decision-making by airlines. As a proposal for future work, it is possible to use the HITS algorithm, a network analysis technique, to identify authorities and hubs. Additionally, it is suggested to analyze the average delay times at these identified airports and the impact this has on the Brazilian air network.
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