ICATCES 2018, Karabük, Türkiye, 11 - 13 Mayıs 2018
Today, with the development of information technologies, studies on the evaluation of relations between people, objects and events to put it simply relations between creatures and facts have taken place among general topics. As the data related to the relationships between creatures and facts continue to increase and become storable together with developing technology, new methods are being developed for analyzing and evaluating these data. There are both semantic and structural relations within the obtained data stacks. Complex network analysis is one of the most common methods used to reach semantic relationships as a result of analyzing and evaluating these relations. In this study, a network was formed among the teams who competed in the UEFA Europe League between 2004-2017 by using the data of football competitions played after the groups. As a result of the evaluation, different categories such as last 32, last 16, quarter final, semi final and final matches are analyzed and the similarities of the networks to the real world networks are compared with the data obtained about the network structures. As a result of the study, it is observed that the teams that compete in the UEFA Europe League are similar to the real world networks.