Brazilian Air Traffic Network Analysis Using Social Network Metrics

Abstract

Air travel has become one of the most popular forms of transportation around the globe because of its easy access, quick commute, and low cost. Due to rising demand, it is now feasible to connect to almost every area of the globe, with an increasing number of direct flights to key cities. Examining the Air routes through social network analysis (SNA) helps us determine the terminals that are significant actors in the business. Analysis can be performed to identify which airports are the main players in the sector by studying the network of flight routes. The proposed work helps to know the features and patterns of air transport and identifies the busiest flight route in different cities using social network analysis. For this purpose, data of all Brazilian flights in 2019, 2020, and 2021 from the Nation Civil Aviation Agency Brazil are considered. The network pattern, along with its characteristics, are analyzed in this study.