Research Article
Computing a Complex Network Hierarchical Structure for Financial Market Networks on the Basis of the Hybrid Heuristic Algorithm
Table 5
Detailed results of simulation experiment.
| Algorithm | Network | Number of nodes | Network density (%) | Error scores (%) | Mean of time | Core | Peripheral | CC | CP | PC | PP |
| GSA | Global | 16 | 186 | 84.3 | 26.5 | 16.6 | 0.99 | 4.90 | 23.1 (0.245) | European | 34 | 802 | 72.5 | 13.5 | 8.9 | 0.69 | 6.21 | 664.2 (111.542) | German | 49 | 2133 | 60.7 | 4.8 | 12.5 | 0.35 | 8.98 | 3455.3 (121.825) |
| GA | Global | 31 | 171 | 85.4 | 19.5 | 22.1 | 1.25 | 6.92 | 26.2 (0.561) | European | 52 | 784 | 66.2 | 15.9 | 13.8 | 0.57 | 7.77 | 622.4 (17.749) | German | 97 | 2085 | 61.5 | 6.8 | 12.6 | 0.39 | 10.75 | 3352.2 (105.771) |
| BBA | Global | 29 | 173 | 92.0 | 13.6 | 12.5 | 1.43 | 9.9 | 13.9 (1.456) | European | 110 | 726 | 60.2 | 11.1 | 7.2 | 0.53 | 9.38 | 233.52 (15.112) | German | 275 | 1907 | 564 | 9.4 | 11.5 | 0.17 | 12.65 | 1566.6 (335.54) |
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GSA, genetic simulated annealing algorithm; GA, genetic algorithm; BBA, branch-and-bound algorithm.
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