코로나19(COVID-19)의 초국가적 전파와 세계 항공 네트워크의 변화 간 연관성에 대한 시론적 연구: 연결 중심성을 이용한 항공 네트워크의 전역적·지역적 변화 탐색

According to the COVID-19 pandemic, global aviation market is becoming stagnant. This study is an early assessment to understand crucial impact of the disease propagation on the aviation market through analyzing degree centrality changes of airports in the World Air transport Network(WAN), in comparison to spreading patterns of the disease. We employ K-means clustering to figure out spatio-temporal phases of the disease spread across countries in the world. Then, we apply degree centrality measure of the network analysis to OAG airlines schedules data, in order to capture the temporal changes of degree centrality distribution. Finally, we examine differential patterns of degree centrality distributions across countries grouped by the spatio-temporal phases of disease spread patterns. As a result, we find that density and size of the WAN have rapidly decreased from January to June in 2020, mainly affected by decreasing connectivity of medium- and large-hubs. Furthermore, the decreasing connectivity patterns appear differentially among regions and countries, with respect to their fluctuating periods and levels.