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 |