Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/22952
DC Field | Value | Language |
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dc.contributor.author | Lazova, Verica | en_US |
dc.contributor.author | Basnarkov, Lasko | en_US |
dc.date.accessioned | 2022-09-07T09:29:59Z | - |
dc.date.available | 2022-09-07T09:29:59Z | - |
dc.date.issued | 2015-04-03 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/22952 | - |
dc.description.abstract | The Football World Cup as world’s favorite sporting event is a source of both entertainment and overwhelming amount of data about the games played. In this paper we analyse the available data on football world championships since 1930 until today. Our goal is to rank the national teams based on all matches during the championships. For this purpose, we apply the PageRank with restarts algorithm to a graph built from the games played during the tournaments. Several statistics such as matches won and goals scored are combined in different metrics that assign weights to the links in the graph. Finally, our results indicate that the Random walk approach with the use of right metrics can indeed produce relevant rankings comparable to the FIFA official all-time ranking board. | en_US |
dc.relation.ispartof | arXiv preprint arXiv:1503.01331 | en_US |
dc.title | PageRank approach to ranking national football teams | en_US |
dc.type | Journal Article | en_US |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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1503.01331.pdf | 465.48 kB | Adobe PDF | View/Open |
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