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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.
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