A network analysis to identify lung cancer comorbid diseases

Applied Network Science

Table 6 Fitness score obtained from various fitness functions using each algorithm

Fitness score	Label propagation	Spinglass	Chinese whispers	Louvain	RB Pots
Average embeddedness	0.888	0.721	0.929	0.929	0.929
Average internal degree	9.125	8.113	11.198	11.198	11.198
Average transitivity	0.667	0.601	0.838	0.838	0.838
Conductance	0.148	0.3	0.094	0.094	0.094
Cut ratio	0.008	0.008	0.009	0.009	0.009
Edges inside	101.333	91.1	130.571	130.571	130.571
Expansion	0.984	1.04	1.083	1.083	1.083
Fraction over median dgr	0.27	0.243	0.364	0.364	0.364
Internal edge density	0.709	0.538	0.603	0.603	0.603
Normalized cut	0.157	0.308	0.105	0.105	0.105
Max ODF	6.333	5.8	7.857	7.857	7.857
AVG ODF	0.984	1.04	1.083	1.083	1.083
Flake ODF	0.009	0.208	0.011	0.011	0.011
Scaled density	7.437	5.645	6.322	6.322	6.322
Size	16	14.4	20.571	20.571	20.571
Triangle participation ratio	0.772	0.695	0.971	0.971	0.971