Table 2 Results obtained on simulated graphs Medium dataset in terms of the normalized mutual information (NMI), binary F1 score (bF1), normalized mutual information at k (NMI at k), binary F1 score at k (bF1 at k) and execution time (t in seconds). Results in bold are best column by column.

From: A new Similarity Based Adapted Louvain Algorithm (SIMBA) for active module identification in p-value attributed biological networks

Algorithm

NMI

bF1

NMI at k

bF1 at k

t

SIMBA

\(\varvec{0.49}\)

\(\varvec{\pm 0.08}\)

0.43

\(\pm 0.08\)

0.43

\(\pm 0.11\)

0.37

\(\pm 0.09\)

0.46

\(\pm 0.35\)

Louvain

0.03

\(\pm 0.003\)

0.02

\(\pm 0.003\)

0.02

\(\pm 0.01\)

0.02

\(\pm 0.01\)

36.39

\(\pm 1.66\)

Amine

0.10

\(\pm 0.01\)

0.12

\(\pm 0.01\)

\(\varvec{0.51}\)

\(\varvec{\pm 0.11}\)

\(\varvec{0.60}\)

\(\varvec{\pm 0.13}\)

2723.85

\(\pm 62.04\)

NetCore

0.34

\(\pm 0.05\)

0.40

\(\pm 0.06\)

0.34

\(\pm 0.04\)

0.40

\(\pm 0.04\)

7012.54

\(\pm 480.82\)

DOMINO

0.005

\(\pm 0.006\)

0.01

\(\pm 0.02\)

0.005

\(\pm 0.006\)

0.01

\(\pm 0.02\)

8.66

\(\pm 0.53\)

GiGA

0.39

\(\pm 0.06\)

\(\varvec{0.46}\)

\(\varvec{\pm 0.06}\)

0.47

\(\pm 0.08\)

0.54

\(\pm 0.08\)

116.32

\(\pm 82.51\)

Baseline

0.12

\(\pm 0.02\)

0.24

\(\pm 0.03\)

0.12

\(\pm 0.02\)

0.24

\(\pm 0.03\)

\(\varvec{0.009}\)

\(\varvec{\pm 0.0007}\)