Table 2 Ratio of the number of communities identified by different methods, to that of the predefined ones, in the LFR networks with different network size (N), different heterogeneity of vertex degrees and community sizes.

From: Critical analysis of (Quasi-)Surprise for community detection in complex networks

N

k max

C max

Sq

Sp

Sg

Mod

Infomap

Infomod

Walktrap

OSLOM

LP

200

10

10

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.00

1.11

80

1.41

1.74

5.13

1.02

1.00

1.00

1.00

1.00

1.11

100

1.73

2.06

5.69

1.00

1.00

1.00

1.00

0.98

1.11

50

80

2.90

3.63

8.85

1.00

1.00

1.00

1.00

1.00

2.42

100

3.38

4.68

10.06

1.05

1.06

1.00

1.00

1.00

3.19

500

10

10

1.00

1.00

1.00

1.00

1.00

0.68

1.00

1.00

1.11

80

1.00

1.00

2.44

1.00

1.00

1.00

1.00

1.00

1.11

100

1.00

1.02

3.43

1.00

1.00

1.00

1.00

1.00

1.11

50

80

1.35

1.71

5.32

1.00

1.00

0.94

1.00

1.00

2.82

100

2.19

2.54

6.78

1.00

1.03

0.93

1.00

1.00

2.30

  1. Other parameters: km = 10, Cmin = 20, µ = 0.1, τ1 = 2, and τ2 = 2. The increase of kmax and Cmax will respectively lead the increase of the heterogeneity of degree and community size in the networks.