Research Article
An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks
Table 3
Compared results for maximum NMI, corresponding
values, and time elapsed (s) of different algorithms.
| Dataset | Index | GN | NF | -means | ELM-CD |
| Karate | Modularity | 0.3600 | 0.3870 | 0.3715 | 0.3715 | NMI | 0.8365 | 0.6925 | 1.0 | 1.0 | Running time | 5.5980 | 7.6e − 4 | 8.6e − 4 | 0.0098 |
| Dolphins | Modularity | 0.3787 | 0.4923 | 0.3555 | 0.3787 | NMI | 0.8888 | 0.6208 | 0.8084 | 0.8888 | Running time | 10.2244 | 0.0020 | 0.0012 | 0.0171 |
| Polbooks | Modularity | 0.4831 | 0.5020 | 0.4248 | 0.4530 | NMI | 0.5754 | 0.5308 | 0.4144 | 0.6650 | Running time | 199.2434 | 0.0064 | 0.0033 | 0.0293 |
| Football | Modularity | 0.5973 | 0.5773 | 0.5523 | 0.5585 | NMI | 0.9214 | 0.7624 | 0.8954 | 0.8944 | Running time | 808.1076 | 0.0120 | 0.0021 | 0.0308 |
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