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 | 15.00 | 15.00 | 0.00 | 0.00 | 0.00 | 15.00 | 0.00 | 0.00 | 0.00 | 15.00 | 0.00 | 0.00 | 0.00 |
Links | 33.00 | 25.53 | 7.47 | 224.00 | 42.07 | 33.00 | 0.00 | 0.00 | 0.00 | 33.00 | 0.00 | 0.00 | 0.00 |
Components | 1.00 | 1.07 | 0.07 | 2.00 | 1.41 | 1.00 | 0.00 | 0.00 | 0.00 | 1.03 | 0.03 | 1.00 | 1.00 |
Network density | 0.31 | 0.24 | 0.07 | 2.13 | 0.40 | 0.31 | 0.00 | 0.00 | 0.00 | 0.31 | 0.00 | 0.00 | 0.00 |
Average degree | 4.40 | 3.40 | 1.00 | 29.87 | 5.61 | 4.40 | 0.00 | 0.00 | 0.00 | 4.40 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 2.53 | 1.78 | 0.75 | 22.57 | 4.29 | 3.03 | 0.50 | 15.07 | 2.91 | 2.94 | 0.41 | 12.43 | 2.39 |
Global cluster coefficient | 0.52 | 0.25 | 0.27 | 7.96 | 1.51 | 0.47 | 0.05 | 1.47 | 0.32 | 0.47 | 0.05 | 1.46 | 0.32 |
Average cluster coefficient | 0.48 | 0.28 | 0.20 | 6.34 | 1.28 | 0.73 | 0.25 | 7.49 | 1.38 | 0.71 | 0.23 | 6.90 | 1.29 |
Mean path length | 1.88 | 2.27 | 0.39 | 11.83 | 3.16 | 1.80 | 0.08 | 2.47 | 0.50 | 1.86 | 0.02 | 3.67 | 1.63 |
Communities | 3.00 | 3.77 | 0.77 | 31.00 | 7.42 | 3.87 | 0.87 | 48.00 | 10.10 | 3.63 | 0.63 | 35.00 | 8.43 |
Gini coefficient | 0.18 | 0.22 | 0.05 | 2.44 | 0.57 | 0.28 | 0.11 | 4.03 | 0.80 | 0.28 | 0.11 | 3.48 | 0.76 |
Average betweenness | 6.13 | 8.02 | 1.89 | 56.67 | 11.24 | 5.61 | 0.53 | 17.27 | 3.53 | 5.59 | 0.54 | 16.73 | 3.67 |
Maximum betweenness | 37.25 | 28.64 | 8.61 | 282.45 | 57.01 | 47.22 | 9.97 | 312.71 | 64.49 | 47.27 | 10.03 | 307.51 | 65.38 |
Average closeness | 0.04 | 0.03 | 0.01 | 0.14 | 0.03 | 0.04 | 0.00 | 0.06 | 0.01 | 0.04 | 0.00 | 0.06 | 0.01 |
Minimum closeness | 0.03 | 0.02 | 0.01 | 0.18 | 0.04 | 0.03 | 0.00 | 0.06 | 0.01 | 0.03 | 0.00 | 0.04 | 0.01 |
Average eigencentrality | 0.53 | 0.54 | 0.01 | 1.08 | 0.24 | 0.49 | 0.04 | 1.21 | 0.24 | 0.49 | 0.04 | 1.21 | 0.24 |
Minimum eigencentrality | 0.11 | 0.12 | 0.01 | 1.39 | 0.29 | 0.15 | 0.04 | 1.46 | 0.29 | 0.15 | 0.04 | 1.68 | 0.32 |
Network radius | 2.00 | 2.67 | 0.67 | 20.00 | 4.47 | 2.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 |
Average eccentricity | 2.80 | 3.48 | 0.68 | 20.33 | 4.09 | 2.67 | 0.13 | 7.13 | 1.45 | 2.65 | 0.15 | 5.93 | 1.31 |
Network diameter | 3.00 | 4.30 | 1.30 | 39.00 | 7.68 | 3.27 | 0.27 | 8.00 | 2.83 | 3.10 | 0.10 | 3.00 | 1.73 |