Link prediction on networks created from UEFA European competitions

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dc.contributor.authorFindik, O.
dc.contributor.authorÖzkaynak, E.
dc.date.accessioned2024-09-29T16:21:20Z
dc.date.available2024-09-29T16:21:20Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description2nd International Conference on Computer Science and Cyber Security, ICONCS 2020 -- 15 February 2020 through 16 February 2020 -- Dhaka -- 243109en_US
dc.description.abstractLink 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.en_US
dc.identifier.doi10.1007/978-3-030-52856-0_16
dc.identifier.endpage217en_US
dc.identifier.isbn978-303052855-3
dc.identifier.issn1867-8211
dc.identifier.scopus2-s2.0-85089616734en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage207en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-52856-0_16
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9682
dc.identifier.volume325 LNICSTen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICSTen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComplex networken_US
dc.subjectData miningen_US
dc.subjectLink predictionen_US
dc.titleLink prediction on networks created from UEFA European competitionsen_US
dc.typeConference Objecten_US

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