Table 1
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 |
Table 2
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 |
Table 3
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) |
Figure 1
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.
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.
Figure 4
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
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.