Scenarios of the Degree of Centrality and Density of the Networks of the Main Brazilian Airports Between 2003 to 2020.

摘要: English The identification of air transport networks is relevant to the economic development of a city or region, through its passenger demands, and, in this case, there may be a difference between the formation of these networks in different periods and which are the main actors compared in a sample of seven airports. The aim of this study is to analyze the degree of centrality of the network of the seven largest Brazilian passenger airports. This sample is based on the analysis of network indicators for the collection and extraction of passenger data between destinations and airport origins by the National Civil Aviation Agency (ANAC). The Social Network Analysis (SNA) method was applied for the construction of networks through the application of@ Ucinet/Netdraw Version 6.716 software to understand the degree of centrality and the density of the network in the scenarios of 2003, 2007, 2015, 2018, and 2020. It was …