Research Article
Community Detection with Self-Adapting Switching Based on Affinity
Table 2
Performance comparison in real-world networks, where n and m are the number of nodes and edges and <k> is the average degree of the network.
| Real-world networks | Dolphin social network | American college football | Zachary’s karate club | Political books | Complexity |
| SAS (NMI) | 0.9071 | 0.9114 | 1 | 0.5861 | | Infomap (NMI) [34] | 0.3892 | 0.9241 | 0.6994 | 0.4934 | | LPA (NMI) [35] | 0.5267 | 0.9094 | 0.7403 | 0.5744 | | Louvain (NMI) [36] | 0.4483 | 0.8903 | 0.5866 | 0.5368 | or | Walktrap (NMI) [37] | 0.4740 | 0.8873 | 0.5041 | 0.5427 | | Fast greedy (NMI) [16] | 0.4482 | 0.6977 | 0.6924 | 0.5308 | | EM (NMI) [38] | 0.4428 | 0.6986 | 0.6771 | 0.5201 | | Blondel (NMI) [39] | 0.4143 | 0.8903 | 0.5866 | 0.5121 | |
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