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 | 56.00 | 56.00 | 0.00 | 0.00 | 0.00 | 56.00 | 0.00 | 0.00 | 0.00 | 56.00 | 0.00 | 0.00 | 0.00 |
Links | 387.00 | 331.40 | 55.60 | 1668.00 | 306.33 | 387.00 | 0.00 | 0.00 | 0.00 | 387.00 | 0.00 | 0.00 | 0.00 |
Components | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 |
Network density | 0.25 | 0.22 | 0.04 | 1.08 | 0.20 | 0.25 | 0.00 | 0.00 | 0.00 | 0.25 | 0.00 | 0.00 | 0.00 |
Average degree | 13.82 | 11.84 | 1.99 | 59.57 | 10.94 | 13.82 | 0.00 | 0.00 | 0.00 | 13.82 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 5.20 | 3.98 | 1.21 | 36.43 | 6.71 | 5.79 | 0.59 | 17.62 | 3.50 | 5.76 | 0.56 | 16.88 | 3.30 |
Global cluster coefficient | 0.49 | 0.24 | 0.26 | 7.69 | 1.41 | 0.35 | 0.14 | 4.15 | 0.76 | 0.36 | 0.14 | 4.06 | 0.74 |
Average cluster coefficient | 0.56 | 0.24 | 0.32 | 9.57 | 1.75 | 0.38 | 0.19 | 5.55 | 1.02 | 0.38 | 0.19 | 5.55 | 1.01 |
Mean path length | 1.90 | 1.86 | 0.04 | 1.21 | 0.23 | 1.80 | 0.10 | 3.05 | 0.56 | 1.79 | 0.11 | 3.24 | 0.59 |
Communities | 3.00 | 5.03 | 2.03 | 67.00 | 16.16 | 5.60 | 2.60 | 78.00 | 16.85 | 4.80 | 1.80 | 60.00 | 14.14 |
Gini coefficient | 0.10 | 0.29 | 0.20 | 6.05 | 1.27 | 0.39 | 0.29 | 8.71 | 1.63 | 0.27 | 0.18 | 5.65 | 1.18 |
Average betweenness | 24.77 | 23.66 | 1.11 | 33.36 | 6.42 | 21.98 | 2.79 | 83.77 | 15.37 | 21.80 | 2.97 | 89.00 | 16.31 |
Maximum betweenness | 116.33 | 78.13 | 38.20 | 1145.89 | 215.07 | 195.97 | 79.65 | 2401.24 | 497.39 | 217.56 | 101.24 | 3037.07 | 594.40 |
Average closeness | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 |
Minimum closeness | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 |
Average eigencentrality | 0.52 | 0.56 | 0.04 | 1.34 | 0.28 | 0.40 | 0.11 | 3.39 | 0.65 | 0.38 | 0.14 | 4.11 | 0.76 |
Minimum eigencentrality | 0.14 | 0.17 | 0.03 | 1.08 | 0.23 | 0.09 | 0.05 | 1.54 | 0.30 | 0.09 | 0.05 | 1.44 | 0.28 |
Network radius | 2.00 | 2.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 |
Average eccentricity | 2.89 | 2.86 | 0.03 | 1.21 | 0.29 | 2.75 | 0.14 | 4.20 | 0.86 | 2.71 | 0.18 | 5.41 | 1.10 |
Network diameter | 3.00 | 3.03 | 0.03 | 1.00 | 1.00 | 3.00 | 0.00 | 0.00 | 0.00 | 3.03 | 0.03 | 1.00 | 1.00 |