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Table 10 Realism results for the Roethlisberger & Dickson Bank Wiring Room social network

From: Heuristic methods for synthesizing realistic social networks based on personality compatibility

Metrics T \( \overline{F} \) |T- \( \overline{F} \) | L1(F) L2(F) \( \overline{P} \) |T-\( \overline{P} \)| L1(P) L2(P) \( \overline{M} \) |T-\( \overline{M} \)| L1(M) L2(M)
Nodes 14.00 14.00 0.00 0.00 0.00 14.00 0.00 0.00 0.00 14.00 0.00 0.00 0.00
Links 13.00 10.43 2.57 77.00 14.93 13.00 0.00 0.00 0.00 13.00 0.00 0.00 0.00
Components 6.00 6.10 0.10 3.00 1.73 6.43 0.43 13.00 3.61 6.10 0.10 3.00 1.73
Network density 0.14 0.12 0.03 0.85 0.16 0.14 0.00 0.00 0.00 0.14 0.00 0.00 0.00
Average degree 1.86 1.49 0.37 11.00 2.13 1.86 0.00 0.00 0.00 1.86 0.00 0.00 0.00
Standard deviation degree 1.61 1.35 0.26 7.90 1.65 1.85 0.24 7.30 1.63 1.74 0.13 4.38 1.07
Global cluster coefficient 0.64 0.16 0.48 14.44 2.76 0.45 0.20 5.88 1.24 0.45 0.19 5.80 1.14
Average cluster coefficient 0.71 0.17 0.53 16.02 3.08 0.63 0.08 4.89 0.95 0.64 0.07 3.29 0.71
Mean path length 9.34 9.49 0.15 5.78 2.23 9.62 0.28 13.51 3.10 9.32 0.02 5.84 1.66
Communities 7.00 7.73 0.73 22.00 5.29 7.60 0.60 18.00 4.69 7.60 0.60 18.00 4.90
Gini coefficient 0.37 0.32 0.04 1.40 0.34 0.34 0.03 0.85 0.26 0.32 0.05 1.55 0.39
Average betweenness 3.14 3.16 0.01 18.57 4.12 1.73 1.42 42.50 8.28 2.28 0.86 25.93 5.22
Maximum betweenness 16.00 12.84 3.16 101.42 25.42 13.31 2.69 159.33 35.77 15.96 0.04 117.17 25.69
Average closeness 0.06 0.06 0.00 0.20 0.05 0.08 0.02 0.64 0.13 0.07 0.01 0.33 0.07
Minimum closeness 0.04 0.04 0.00 0.17 0.05 0.06 0.02 0.65 0.13 0.05 0.01 0.30 0.06
Average eigencentrality 0.59 0.65 0.05 1.98 0.43 0.68 0.08 2.67 0.69 0.65 0.06 2.44 0.52
Minimum eigencentrality 0.20 0.21 0.01 2.22 0.54 0.34 0.14 4.15 0.93 0.30 0.10 3.21 0.73
Network radius 3.00 2.67 0.33 12.00 3.46 1.83 1.17 35.00 6.71 2.00 1.00 30.00 5.48
Average eccentricity 2.57 2.38 0.19 10.50 2.37 1.55 1.02 30.71 5.87 1.91 0.67 20.00 3.85
Network diameter 5.00 4.57 0.43 19.00 4.58 3.00 2.00 60.00 11.40 3.57 1.43 43.00 8.31
  1. Boldfaced numbers indicate which algorithm performed better for a particular metric