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Table 4 Features of the meta-networks representing the community structure for the uniform sample

From: A large-scale community structure analysis in Facebook

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%

  1. 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).