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Table 4 Modularity measurement

From: A network analysis to identify lung cancer comorbid diseases

Algorithm Newman Girvan Erdos Renyi Link Density Z
Fluid 0.548 0.510 0.121 24.106 1.207
Belief 0.701 0.760 0.140 59.499 1.580
CPM − 0.010 0.000 0.000 − 1964 − 0.098
Chinese whispers 0.711 0.773 0.135 70.804 1.715
DER 0.417 0.491 0.143 26.175 0.844
Eigenvector 0.707 0.779 0.140 65.678 1.601
EM 0.549 0.591 0.136 34.864 1.126
ga 0.649 0.723 0.124 54.424 1.587
Girvan Newman 0.703 0.762 0.142 59.117 1.571
Greedy modularity 0.678 0.711 0.132 61.066 1.593
Kcut 0.000 0.007 0.144 6.587 0.000
Label propagation 0.710 0.781 0.134 73.272 1.716
Leiden 0.707 0.757 0.135 66.314 1.683
Louvain 0.711 0.773 0.135 70.804 1.715
Markov Clustering 0.707 0.786 0.140 68.667 1.603
RBER Pots 0.702 0.790 0.139 63.449 1.597
RB Pots 0.711 0.773 0.135 70.804 1.715
Significance 0.622 0.719 0.118 5.528 1.567
Spinglass 0.710 0.781 0.134 73.272 1.716
Surprise 0.697 0.780 0.132 59.834 1.691
Walktrap 0.707 0.786 0.140 68.667 1.603