Research Article
CDCN: A New NMF-Based Community Detection Method with Community Structures and Node Attributes
Table 5
The performances of the different community detection algorithms on nonoverlapping as community measured by the AC and NMI.
| Metric | Datasets | InfoMap | CPM | SLPA | Louvain | DEMON | SNMF | Adj-Mat | Emb-Mat | CDCN |
| NMI | Karate | 0.581 | 0.652 | 0.658 | 0.569 | 0.429 | 0.836 | 0.825 | 0.912 | 1.0 | Football | 0.901 | 0.855 | 0.582 | 0.713 | 0.463 | 0.894 | 0.875 | 0.903 | 0.909 | Polbooks | 0.412 | 0.538 | 0.498 | 0.547 | 0.383 | 0.508 | 0.487 | 0.524 | 0.570 | AC | Karate | 0.894 | 0.888 | 0.820 | 0.741 | 0.688 | 0.970 | 0.962 | 0.970 | 1.0 | Football | 0.918 | 0.897 | 0.613 | 0.716 | 0.546 | 0.891 | 0.867 | 0.911 | 0.923 | Polbooks | 0.695 | 0.819 | 0.785 | 0.823 | 0.740 | 0.743 | 0.724 | 0.798 | 0.838 |
|
|