Computational Social Networks

Table 19 Yoshida2014 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 nodes							100,000 nodes
	\(\mu\)	\({k}=640,000\)		\({k}=160,000\)		\({k}=20,000\)		\(\mu\)	\({k}=800,000\)		\({k}=200,000\)		\({k}=60,000\)
	\(\mu\)	%	s	%	s	%	s	\(\mu\)	%	s	%	s	%	s
1	0.01	100	9392	100	2523	100	366	0.001	100	14,987	93	8976	93	4673
2	0.02	99	6405	98	1516	95	240	0.003	83	15,090	76	10,805	78	3653
3	0.03	99	5819	92	1434	59	142	0.005	79	14,793	58	5632	51	3656
4	0.04	90	4431	77	707	12	137	0.001	100	32,874	100	12,010	100	7174
5	0.05	77	2547	60	670	5	134	0.005	100	68,858	94	18,752	98	9428
6	0.10	33	2895	7	755	5	144	0.010	87	53,339	48	11,908	10	7116

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