International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES 2018), Karabük, Türkiye, 11 - 13 Mayıs 2018, ss.383-388
In parallel with the development of the technology, the storage of the data more easily and quickly and the faster processing on the stored data can make an important contribution to the creation and analysis of networks of coexistence. Complex networking plays an important role in analyzing and revealing common characteristics and structures of connected clusters depending on various characteristics. In this study, a network of association between male tennis player in the Australian Open, the French Open, the US Open and the Wimbledon tennis tournaments, known as four major international tennis tournaments between 2000 and 2017, has been established.While each tennis player is defined as a node in the network of associations created, the competitions of the tennis players with each other are defined as the links connecting these nodes. The universal principles of complex networks such as scale-free, small world, clustering have been examined. Furthermore, through Gephi software, the structural characteristics of networks are visualized by using the data obtained from this association network. As a result of the study, it was seen that the networks among the tennis players struggling in the related tournaments were carrying real world network characteristics and that the data obtained from these networks can be used for network analysis.