Table 2 The performance in different GN-benchmark networks #2.
From: A multi-similarity spectral clustering method for community detection in dynamic networks
z | syn-fix | syn-var | |||
|---|---|---|---|---|---|
NMI | SSE | NMI | SSE | ||
PCQ-NA | 3 5 | 0.6028 ± 0.2033 0.6069 ± 0.2016 | 9640.60 ± 4779.74 9340.80 ± 4642.21 | 0.6132 ± 0.1862 0.6116 ± 0.1928 | 9259.42 ± 3910.06 9174.40 ± 4197.49 |
PCQ-NC | 3 5 | 0.6133 ± 0.1840 0.6054 ± 0.1884 | 9319.38 ± 4134.37 9466.48 ± 4214.53 | 0.6002 ± 0.1798 0.5984 ± 0.1922 | 9841.54 ± 3830.96 9656.26 ± 4299.85 |
PCM-NA | 3 5 | 0.5963 ± 0.1996 0.5993 ± 0.1978 | 9460.58 ± 4666.48 9304.36 ± 4568.22 | 0.5926 ± 0.1872 0.5834 ± 0.1928 | 9720.78 ± 3991.91 9855.60 ± 4235.54 |
PCM-NC | 3 5 | 0.5978 ± 0.1862 0.6109 ± 0.1943 | 9916.08 ± 4193.82 9271.82 ± 4401.95 | 0.6070 ± 0.1854 0.6139 ± 0.1907 | 9536.20 ± 3861.53 9123.94 ± 4136.11 |
StaticSpectral | 3 5 | 0.5835 ± 0.1954 0.5781 ± 0.2052 | 9668.48 ± 4259.43 9755.16 ± 4679.10 | 0.5863 ± 0.1896 0.5812 ± 0.1862 | 9482.16 ± 3893.93 9659.56 ± 3723.53 |
MSSC | 3 5 | 0.5852 ± 0.2052 0.6091 ± 0.2094 | 2340.58 ± 1232.92 2171.14 ± 1246.76 | 0.6458 ± 0.1805 0.6475 ± 0.1747 | 8261.06 ± 4294.08 8263.74 ± 4162.19 |
