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 | 11.00 | 11.00 | 0.00 | 0.00 | 0.00 | 11.00 | 0.00 | 0.00 | 0.00 | 11.00 | 0.00 | 0.00 | 0.00 |
Links | 16.00 | 12.83 | 3.17 | 95.00 | 18.41 | 16.00 | 0.00 | 0.00 | 0.00 | 16.00 | 0.00 | 0.00 | 0.00 |
Components | 1.00 | 1.13 | 0.13 | 4.00 | 2.00 | 1.07 | 0.07 | 2.00 | 1.41 | 1.47 | 0.47 | 14.00 | 3.74 |
Network density | 0.29 | 0.23 | 0.06 | 1.73 | 0.34 | 0.29 | 0.00 | 0.00 | 0.00 | 0.29 | 0.00 | 0.00 | 0.00 |
Average degree | 2.91 | 2.33 | 0.58 | 17.27 | 3.35 | 2.91 | 0.00 | 0.00 | 0.00 | 2.91 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 1.87 | 1.27 | 0.60 | 17.92 | 3.49 | 1.75 | 0.12 | 8.79 | 1.93 | 1.82 | 0.05 | 7.46 | 1.70 |
Global cluster coefficient | 0.38 | 0.14 | 0.24 | 7.29 | 1.48 | 0.38 | 0.01 | 1.27 | 0.32 | 0.45 | 0.07 | 2.76 | 0.61 |
Average cluster coefficient | 0.41 | 0.17 | 0.24 | 7.46 | 1.55 | 0.63 | 0.23 | 6.80 | 1.29 | 0.66 | 0.26 | 7.73 | 1.48 |
Mean path length | 2.02 | 2.73 | 0.71 | 21.20 | 6.28 | 2.13 | 0.11 | 6.55 | 2.27 | 2.75 | 0.74 | 23.69 | 5.83 |
Communities | 3.00 | 3.47 | 0.47 | 18.00 | 5.10 | 2.47 | 0.53 | 18.00 | 4.24 | 3.13 | 0.13 | 14.00 | 4.47 |
Gini coefficient | 0.24 | 0.15 | 0.10 | 2.91 | 0.66 | 0.12 | 0.12 | 3.72 | 0.76 | 0.20 | 0.04 | 2.85 | 0.62 |
Average betweenness | 5.09 | 6.44 | 1.35 | 53.64 | 11.35 | 5.06 | 0.04 | 21.09 | 4.75 | 4.52 | 0.57 | 29.00 | 6.08 |
Maximum betweenness | 25.17 | 21.60 | 3.56 | 153.90 | 35.15 | 26.26 | 1.09 | 140.33 | 31.75 | 22.18 | 2.99 | 159.33 | 34.81 |
Average closeness | 0.05 | 0.05 | 0.01 | 0.24 | 0.05 | 0.05 | 0.00 | 0.11 | 0.03 | 0.06 | 0.00 | 0.18 | 0.04 |
Minimum closeness | 0.04 | 0.03 | 0.01 | 0.25 | 0.05 | 0.04 | 0.00 | 0.11 | 0.03 | 0.04 | 0.00 | 0.16 | 0.04 |
Average eigencentrality | 0.49 | 0.54 | 0.05 | 1.91 | 0.46 | 0.55 | 0.06 | 1.96 | 0.43 | 0.56 | 0.07 | 2.11 | 0.44 |
Minimum eigencentrality | 0.14 | 0.15 | 0.01 | 2.08 | 0.46 | 0.22 | 0.08 | 2.66 | 0.54 | 0.20 | 0.06 | 2.05 | 0.43 |
Network radius | 2.00 | 2.67 | 0.67 | 20.00 | 4.69 | 2.10 | 0.10 | 3.00 | 1.73 | 2.00 | 0.00 | 2.00 | 1.41 |
Average eccentricity | 3.09 | 3.78 | 0.69 | 23.73 | 5.26 | 3.01 | 0.09 | 10.73 | 2.32 | 2.86 | 0.23 | 11.55 | 2.56 |
Network diameter | 4.00 | 4.73 | 0.73 | 26.00 | 6.48 | 3.57 | 0.43 | 17.00 | 4.12 | 3.57 | 0.43 | 13.00 | 3.87 |