Table 1.
The values of network metrics and their rankings.
| Label | Node | Clustering | Closeness | Eigenvector | Betweenness |
|---|---|---|---|---|---|
| degree | coefficient | centrality | centrality | centrality | |
| Argentina | 9 (10) | 0.417 (22) | 0.615 (11) | 0.450 (14) | 6.851 (9) |
| Australia | 15 (2) | 0.438 (21) | 0.727 (2) | 0.782 (2) | 18.696 (2) |
| Austria | 9 (10) | 0.750 (3) | 0.615 (11) | 0.581 (11) | 1.213 (18) |
| Brazil | 3 (22) | 0.667 (7) | 0.522 (24) | 0.208 (23) | 0.125 (24) |
| China | 0 (26) | 0.000 (26) | 0.000 (26) | 0.000 (26) | 0.000 (25) |
| France | 9 (10) | 0.806 (2) | 0.615 (11) | 0.603 (10) | 1.064 (19) |
| Germany | 6 (16) | 0.667 (7) | 0.571 (16) | 0.379 (17) | 1.924 (15) |
| Hungary | 13 (4) | 0.474 (18) | 0.686 (4) | 0.688 (6) | 17.633 (3) |
| India | 22 (1) | 0.333 (23) | 0.923 (1) | 1.000 (1) | 68.630 (1) |
| Indonesia | 4 (21) | 0.167 (25) | 0.545 (19) | 0.182 (24) | 3.072 (13) |
| Ireland | 13 (4) | 0.603 (12) | 0.686 (4) | 0.756 (3) | 7.376 (8) |
| Italy | 11 (9) | 0.691 (6) | 0.649 (8) | 0.677 (7) | 3.560 (12) |
| Japan | 5 (19) | 0.700 (5) | 0.545 (19) | 0.324 (19) | 0.421 (22) |
| Malaysia | 3 (22) | 0.667 (7) | 0.533 (22) | 0.210 (22) | 0.188 (23) |
| Mexico | 12 (7) | 0.470 (20) | 0.667 (7) | 0.635 (9) | 16.291 (4) |
| Netherlands | 6 (16) | 0.733 (4) | 0.571 (16) | 0.401 (16) | 0.597 (21) |
| Norway | 7 (15) | 0.619 (11) | 0.585 (15) | 0.409 (15) | 2.225 (14) |
| Portugal | 3 (22) | 1.000 (1) | 0.533 (22) | 0.222 (21) | 0.000 (25) |
| Russia | 14 (3) | 0.495 (16) | 0.706 (3) | 0.755 (4) | 11.295 (5) |
| South Korea | 9 (10) | 0.472 (19) | 0.615 (11) | 0.487 (13) | 5.388 (11) |
| Spain | 10 (10) | 0.489 (17) | 0.632 (10) | 0.542 (12) | 6.366 (10) |
| Sweden | 6 (16) | 0.667 (7) | 0.558 (18) | 0.364 (18) | 1.292 (16) |
| Thailand | 12 (8) | 0.530 (14) | 0.649 (8) | 0.658 (8) | 8.799 (7) |
| Turkey | 5 (19) | 0.500 (15) | 0.545 (19) | 0.282 (20) | 1.242 (17) |
| United Kingdom | 13 (4) | 0.538 (13) | 0.686 (4) | 0.734 (5) | 9.088 (6) |
| United States | 3 (22) | 0.333 (23) | 0.480 (25) | 0.139 (25) | 0.667 (20) |
Notes: The five common network metrics (degree, clustering coefficient, closeness centrality, eigenvector centrality, and betweenness centrality) are used to depict and reveal the characteristics of the pandemic-driven financial contagion during the COVID-19 period. The rankings for all markets are provided in the parenthesis, the higher the ranking is, the more influence has the market in the disaster-driven financial contagion network.