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Table 4 Brandes2007 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
\(\mu\)Samples = 200Samples = 100Samples = 50\(\mu\)Samples = 50Samples = 25Samples = 10
%s%s%s%s%s%s
10.011009661005341002900.0011004466992139181546
20.021001581100826994500.00398749289873252975
30.03961880100952875430.0058417,8411310,76452803
40.04992030971063756150.00110011,63110062501003110
50.05992103991103306240.0059919,51410013,045419615
60.1089237734125366390.0109944,3559229,556914,153