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 | 34.00 | 34.00 | 0.00 | 0.00 | 0.00 | 34.00 | 0.00 | 0.00 | 0.00 | 34.00 | 0.00 | 0.00 | 0.00 |
Links | 78.00 | 65.63 | 12.37 | 371.00 | 68.61 | 78.00 | 0.00 | 0.00 | 0.00 | 78.00 | 0.00 | 0.00 | 0.00 |
Components | 1.00 | 1.13 | 0.13 | 4.00 | 2.00 | 1.13 | 0.13 | 4.00 | 2.45 | 1.20 | 0.20 | 6.00 | 2.45 |
Network density | 0.14 | 0.12 | 0.02 | 0.66 | 0.12 | 0.14 | 0.00 | 0.00 | 0.00 | 0.14 | 0.00 | 0.00 | 0.00 |
Average degree | 4.59 | 3.86 | 0.73 | 21.82 | 4.04 | 4.59 | 0.00 | 0.00 | 0.00 | 4.59 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 3.88 | 2.69 | 1.19 | 35.61 | 6.63 | 3.87 | 0.00 | 6.10 | 1.38 | 3.67 | 0.21 | 7.49 | 1.63 |
Global cluster coefficient | 0.26 | 0.16 | 0.10 | 2.96 | 0.56 | 0.31 | 0.05 | 1.63 | 0.33 | 0.33 | 0.08 | 2.25 | 0.44 |
Average cluster coefficient | 0.59 | 0.19 | 0.40 | 11.85 | 2.18 | 0.68 | 0.09 | 2.71 | 0.51 | 0.67 | 0.08 | 2.49 | 0.48 |
Mean path length | 2.41 | 2.85 | 0.44 | 13.27 | 4.99 | 3.05 | 0.64 | 22.98 | 12.16 | 3.60 | 1.19 | 36.32 | 14.09 |
Communities | 5.00 | 7.53 | 2.53 | 82.00 | 18.55 | 6.80 | 1.80 | 58.00 | 12.41 | 6.27 | 1.27 | 42.00 | 9.70 |
Gini coefficient | 0.17 | 0.31 | 0.14 | 4.28 | 0.87 | 0.33 | 0.17 | 5.04 | 0.96 | 0.31 | 0.15 | 4.37 | 0.86 |
Average betweenness | 23.24 | 25.26 | 2.03 | 68.62 | 14.83 | 22.13 | 1.11 | 72.03 | 18.05 | 23.14 | 0.10 | 72.18 | 17.73 |
Maximum betweenness | 231.07 | 163.33 | 67.74 | 2032.19 | 409.13 | 234.37 | 3.30 | 1271.06 | 277.04 | 208.98 | 22.09 | 1321.97 | 293.17 |
Average closeness | 0.01 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.03 | 0.01 | 0.01 | 0.00 | 0.02 | 0.01 |
Minimum closeness | 0.01 | 0.01 | 0.00 | 0.02 | 0.01 | 0.01 | 0.00 | 0.03 | 0.01 | 0.01 | 0.00 | 0.03 | 0.01 |
Average eigencentrality | 0.39 | 0.33 | 0.06 | 1.79 | 0.36 | 0.30 | 0.09 | 2.73 | 0.51 | 0.30 | 0.10 | 2.84 | 0.53 |
Minimum eigencentrality | 0.06 | 0.04 | 0.03 | 0.99 | 0.20 | 0.03 | 0.03 | 1.01 | 0.20 | 0.03 | 0.04 | 1.07 | 0.21 |
Network radius | 3.00 | 3.03 | 0.03 | 1.00 | 1.00 | 2.60 | 0.40 | 12.00 | 3.46 | 2.73 | 0.27 | 10.00 | 3.16 |
Average eccentricity | 4.03 | 4.12 | 0.09 | 6.94 | 1.79 | 3.70 | 0.33 | 14.50 | 3.18 | 3.82 | 0.21 | 12.88 | 2.97 |
Network diameter | 5.00 | 5.13 | 0.13 | 8.00 | 3.16 | 4.70 | 0.30 | 15.00 | 3.87 | 4.87 | 0.13 | 16.00 | 4.24 |