Link prediction on networks created from UEFA European competitions
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Link prediction is widely used in network analysis to identify future links between nodes. Link prediction has an important place in terms of being applicable to many real-world networks with dynamic structure. Networks with dynamic structure, such as social networks, scientific collaboration networks and metabolic networks, are networks in which link prediction studies are performed. In addition, it is seen that there are few studies showing the feasibility of link prediction by creating networks from different areas. In this study, in order to show the applicability of link prediction processes in different fields link prediction was made by applying traditional link prediction methods in the networks formed from the data of football competitions played after the groups between the years 2004–2017 in the UEFA European League. The AUC metric was used to measure the success of forecasting. The results show that link prediction methods can be used in sports networks. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020.
Açıklama
2nd International Conference on Computer Science and Cyber Security, ICONCS 2020 -- 15 February 2020 through 16 February 2020 -- Dhaka -- 243109
Anahtar Kelimeler
Complex network, Data mining, Link prediction
Kaynak
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
325 LNICST
