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Table 11 Riondato2016 clustering results for LFR nets of 10,000 and 100,000 nodes

From: Comparing the speed and accuracy of approaches to betweenness centrality approximation

#10,000 nodes100,000 nodes
\(\mu\)\(\epsilon =0.2\)\(\epsilon =0.4\)\(\epsilon =0.6\)\(\mu\)\(\epsilon =0.2\)\(\epsilon =0.4\)\(\epsilon =0.6\)
%s%s%s%s%s%s
10.01100986963311002140.00193282971152088556
20.028416491005441003570.003935337652302881045
30.039320491006251004080.005966929692851831737
40.04882294100690964270.0019611,4059754521002216
50.05902411947181004470.0059644,9659614,63710013,716
60.1082284577833884980.0109574,8269635,52610031,403