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An Analysis of Relations Among European Countries Based on UEFA European Football Championship

Mustafa Duymus
Mustafa Duymus
, 
Ilayda Beyreli Kokundu
Ilayda Beyreli Kokundu
 and 
Miray Kas
Miray Kas
   | Aug 14, 2022
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Article Category: Article
Published Online: Aug 14, 2022
Page range: 30 - 46
DOI: https://doi.org/10-21307/joss-2022-004
Keywords
© 2022 Mustafa Duymus et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Euro2020 Network where the node sizes are based on Eigenvector centrality
Euro2020 Network where the node sizes are based on Eigenvector centrality

Figure 2

Euro1992 Network where nodes are colored with respect to the cluster assignment by Girvan-Newman Algorithm. Each color represents a different cluster.
Euro1992 Network where nodes are colored with respect to the cluster assignment by Girvan-Newman Algorithm. Each color represents a different cluster.

Figure 3

Euro2008 Network where nodes are colored with respect to the cluster assignment by Girvan-Newman Algorithm. Nodes with pink are assigned to the same cluster whereas the gray nodes are clusters on their own.
Euro2008 Network where nodes are colored with respect to the cluster assignment by Girvan-Newman Algorithm. Nodes with pink are assigned to the same cluster whereas the gray nodes are clusters on their own.

Figure 4

Euro2020 Network where nodes are colored with respect to the cluster assignment by Louvain Algorithm. Each color represents a different cluster.
Euro2020 Network where nodes are colored with respect to the cluster assignment by Louvain Algorithm. Each color represents a different cluster.

Figure 5

Euro2020 Network where nodes are colored with respect to the cluster assignment by DBSCAN. Nodes with purplish pink are the assigned to the same cluster whereas the all other colors represent outliers
Euro2020 Network where nodes are colored with respect to the cluster assignment by DBSCAN. Nodes with purplish pink are the assigned to the same cluster whereas the all other colors represent outliers

Figure 6

Euro2020 Network where nodes are colored with respect to the cluster assignment by Girvan-Newman Algorithm. Nodes with pink are assigned to the same cluster whereas the gray nodes are clusters on their own.
Euro2020 Network where nodes are colored with respect to the cluster assignment by Girvan-Newman Algorithm. Nodes with pink are assigned to the same cluster whereas the gray nodes are clusters on their own.

Average Percentage of Domestic Players over Different Euro Tournaments

Year Average Percentage of Domestic Players
1992 66.3
1996 69.9
2000 50.9
2004 54.1
2008 52.7
2012 53.5
2016 35.5
2020 34.8

Network Metrics

Network # of Nodes Density Diameter Avg. Degree Avg. Path Length Modularity Avg. Eigen Centrality Avg. Clustering Coef.
Euro 1992 18 0.127 2 4.334 1.244 0.406 0.212 0.143
Euro 1996 21 0.171 3 6.857 1.422 0.264 0.180 0.196
Euro 2000 22 0.195 3 8.182 1.429 0.250 0.224 0.247
Euro 2004 23 0.190 4 8.348 1.388 0.229 0.205 0.213
Euro 2008 23 0.200 2 8.782 1.254 0.239 0.206 0.242
Euro 2012 25 0.148 5 7.120 1.603 0.259 0.132 0.199
Euro 2016 41 0.093 6 7.414 2.116 0.317 0.125 0.176
Euro 2020 24 0.286 8 13.167 2.053 0.173 0.206 0.397

Top Five Countries According to Eigenvector Centrality in Each Tournament

Year Countries
1992 Italy(1.00) England(0.88) France(0.77) Germany(0.27) Scotland (0.08)
1996 Italy(1.00) England(0.51) Scotland(0.44) France(0.41) Turkey (0.30)
2000 Spain(1.00) England(0.96) Italy(0.93) Germany(0.46) France(0.34)
2004 England(1.00) Spain(0.97) Germany(0.90) Italy(0.56) France(0.55)
2008 Germany(1.00) England(0.98) Spain(0.95) Russia(0.39) Italy(0.37)
2012 England(1.00) Italy(0.49) Spain(0.45) Germany(0.32) France(0.17)
2016 England(1.00) Germany(0.75) Italy(0.71) Spain(0.69) Turkey(0.44)
2020 England(1.00) Germany(0.82) Italy(0.81) Spain(0.80) France(0.76)
eISSN:
1529-1227
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Social Sciences, other
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