Table 12 Realism results for the Sampson Monastery social network
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 | 18.00 | 18.00 | 0.00 | 0.00 | 0.00 | 18.00 | 0.00 | 0.00 | 0.00 | 18.00 | 0.00 | 0.00 | 0.00 |
Links | 41.00 | 34.07 | 6.93 | 208.00 | 39.19 | 41.00 | 0.00 | 0.00 | 0.00 | 41.00 | 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 | 0.27 | 0.22 | 0.05 | 1.36 | 0.26 | 0.27 | 0.00 | 0.00 | 0.00 | 0.27 | 0.00 | 0.00 | 0.00 |
Average degree | 4.56 | 3.79 | 0.77 | 23.11 | 4.36 | 4.56 | 0.00 | 0.00 | 0.00 | 4.56 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 2.09 | 1.55 | 0.55 | 16.35 | 3.25 | 2.84 | 0.75 | 22.36 | 4.35 | 2.99 | 0.90 | 26.91 | 5.12 |
Global cluster coefficient | 0.26 | 0.20 | 0.07 | 2.31 | 0.50 | 0.36 | 0.10 | 2.93 | 0.56 | 0.37 | 0.11 | 3.20 | 0.60 |
Average cluster coefficient | 0.29 | 0.21 | 0.07 | 2.75 | 0.59 | 0.63 | 0.34 | 10.22 | 1.92 | 0.66 | 0.38 | 11.36 | 2.10 |
Mean path length | 1.97 | 2.15 | 0.18 | 5.33 | 1.06 | 1.83 | 0.14 | 4.07 | 0.77 | 1.82 | 0.15 | 4.54 | 0.87 |
Communities | 3.00 | 3.67 | 0.67 | 28.00 | 7.07 | 3.60 | 0.60 | 22.00 | 5.10 | 3.83 | 0.83 | 25.00 | 5.75 |
Gini coefficient | 0.07 | 0.19 | 0.12 | 3.52 | 0.82 | 0.18 | 0.10 | 3.21 | 0.66 | 0.19 | 0.11 | 3.46 | 0.72 |
Average betweenness | 8.22 | 9.73 | 1.51 | 45.33 | 9.00 | 7.07 | 1.15 | 34.56 | 6.54 | 6.94 | 1.29 | 38.56 | 7.39 |
Maximum betweenness | 37.62 | 36.81 | 0.81 | 170.51 | 39.48 | 78.27 | 40.65 | 1219.35 | 228.02 | 82.56 | 44.94 | 1348.16 | 250.19 |
Average closeness | 0.03 | 0.03 | 0.00 | 0.08 | 0.02 | 0.03 | 0.00 | 0.07 | 0.01 | 0.03 | 0.00 | 0.08 | 0.02 |
Minimum closeness | 0.02 | 0.02 | 0.00 | 0.07 | 0.02 | 0.03 | 0.00 | 0.09 | 0.02 | 0.03 | 0.00 | 0.10 | 0.02 |
Average eigencentrality | 0.48 | 0.50 | 0.02 | 1.32 | 0.31 | 0.42 | 0.06 | 1.89 | 0.36 | 0.41 | 0.07 | 2.06 | 0.38 |
Minimum eigencentrality | 0.17 | 0.16 | 0.01 | 1.78 | 0.40 | 0.23 | 0.06 | 1.79 | 0.37 | 0.22 | 0.05 | 1.92 | 0.40 |
Network radius | 2.00 | 2.80 | 0.80 | 24.00 | 4.90 | 1.97 | 0.03 | 1.00 | 1.00 | 1.93 | 0.07 | 2.00 | 1.41 |
Average eccentricity | 3.00 | 3.40 | 0.40 | 12.50 | 2.56 | 2.65 | 0.35 | 10.50 | 2.20 | 2.60 | 0.40 | 12.39 | 2.67 |
Network diameter | 4.00 | 4.07 | 0.07 | 6.00 | 2.45 | 3.00 | 1.00 | 30.00 | 5.66 | 3.07 | 0.93 | 28.00 | 5.66 |