Table 4
Features of the meta-networks representing thecommunity structurefor theuniformsample
Feature	FNCA	LPA
No. nodes/edges	36,248/836,130	35,276/785,751
Min./Max./Avg. weight	1/16,088/1.47	1/7,712/1.47
Size largest conn. comp.	99.76%	99.75%
Avg. degree	46.13	44.54
2nd largest eigenvalue	171.54	23.63
Effective diameter	4.85	4.45
Avg. clustering coefficient	0.1236	0.1318
Density	0.127%	0.126%

In this table we report some statistics regarding the community structure meta-network obtained from the uniform sample, by using the two chosen community detection algorithms (i.e., FNCA and LPA).

Ferrara EPJ Data Science 2012 1:9   doi:10.1186/epjds9