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 | 22.00 | 22.00 | 0.00 | 0.00 | 0.00 | 22.00 | 0.00 | 0.00 | 0.00 | 22.00 | 0.00 | 0.00 | 0.00 |
Links | 39.00 | 35.47 | 3.53 | 106.0 | 20.98 | 39.00 | 0.00 | 0.00 | 0.00 | 39.00 | 0.00 | 0.00 | 0.00 |
Components | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 | 1.30 | 0.30 | 9.00 | 3.32 | 1.23 | 0.23 | 7.00 | 2.65 |
Network density | 0.17 | 0.15 | 0.02 | 0.46 | 0.09 | 0.17 | 0.00 | 0.00 | 0.00 | 0.17 | 0.00 | 0.00 | 0.00 |
Average degree | 3.55 | 3.22 | 0.32 | 9.64 | 1.91 | 3.55 | 0.00 | 0.00 | 0.00 | 3.55 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 0.96 | 0.96 | 0.00 | 2.90 | 0.69 | 2.65 | 1.69 | 50.71 | 9.33 | 2.69 | 1.73 | 51.78 | 9.49 |
Global cluster coefficient | 0.28 | 0.11 | 0.17 | 4.99 | 0.96 | 0.33 | 0.06 | 1.77 | 0.37 | 0.32 | 0.05 | 1.35 | 0.29 |
Average cluster coefficient | 0.34 | 0.11 | 0.23 | 6.88 | 1.30 | 0.72 | 0.38 | 11.43 | 2.10 | 0.72 | 0.38 | 11.29 | 2.08 |
Mean path length | 2.49 | 2.66 | 0.16 | 5.03 | 1.22 | 2.91 | 0.42 | 20.68 | 6.67 | 2.78 | 0.29 | 18.58 | 5.91 |
Communities | 5.00 | 4.97 | 0.03 | 17.00 | 4.58 | 5.23 | 0.23 | 17.00 | 4.36 | 5.33 | 0.33 | 20.00 | 5.10 |
Gini coefficient | 0.13 | 0.20 | 0.07 | 2.43 | 0.53 | 0.20 | 0.08 | 2.29 | 0.51 | 0.21 | 0.08 | 2.48 | 0.55 |
Average betweenness | 15.68 | 17.41 | 1.73 | 52.77 | 12.79 | 12.95 | 2.73 | 81.91 | 17.33 | 12.86 | 2.82 | 84.64 | 17.09 |
Maximum betweenness | 46.38 | 53.76 | 7.38 | 319.93 | 80.14 | 157.15 | 110.76 | 3322.93 | 613.21 | 157.83 | 111.44 | 3343.28 | 615.46 |
Average closeness | 0.02 | 0.02 | 0.00 | 0.03 | 0.01 | 0.02 | 0.00 | 0.09 | 0.02 | 0.02 | 0.00 | 0.09 | 0.02 |
Minimum closeness | 0.02 | 0.01 | 0.00 | 0.07 | 0.02 | 0.02 | 0.00 | 0.03 | 0.01 | 0.02 | 0.00 | 0.02 | 0.01 |
Average eigencentrality | 0.62 | 0.51 | 0.10 | 3.08 | 0.64 | 0.33 | 0.29 | 8.69 | 1.59 | 0.33 | 0.29 | 8.67 | 1.58 |
Minimum eigencentrality | 0.32 | 0.15 | 0.16 | 4.92 | 1.01 | 0.07 | 0.24 | 7.28 | 1.34 | 0.08 | 0.23 | 7.00 | 1.28 |
Network radius | 3.00 | 3.40 | 0.40 | 12.00 | 3.46 | 2.17 | 0.83 | 25.00 | 5.00 | 2.20 | 0.80 | 24.00 | 4.90 |
Average eccentricity | 4.09 | 4.40 | 0.31 | 11.14 | 2.86 | 3.32 | 0.77 | 23.32 | 4.59 | 3.32 | 0.77 | 23.00 | 4.45 |
Network diameter | 5.00 | 5.40 | 0.40 | 16.00 | 4.47 | 4.17 | 0.83 | 25.00 | 5.00 | 4.20 | 0.80 | 24.00 | 4.90 |