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 | 175.00 | 143.63 | 31.37 | 941.00 | 173.03 | 175.00 | 0.00 | 0.00 | 0.00 | 175.00 | 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 | 0.31 | 0.26 | 0.06 | 1.68 | 0.31 | 0.31 | 0.00 | 0.00 | 0.00 | 0.31 | 0.00 | 0.00 | 0.00 |
Average degree | 10.29 | 8.45 | 1.85 | 55.35 | 10.18 | 10.29 | 0.00 | 0.00 | 0.00 | 10.29 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 4.63 | 3.55 | 1.08 | 32.41 | 5.97 | 5.03 | 0.40 | 12.12 | 2.45 | 5.00 | 0.37 | 11.02 | 2.31 |
Global cluster coefficient | 0.48 | 0.30 | 0.17 | 5.17 | 0.95 | 0.44 | 0.03 | 0.98 | 0.20 | 0.45 | 0.03 | 0.77 | 0.16 |
Average cluster coefficient | 0.47 | 0.32 | 0.16 | 4.76 | 0.88 | 0.53 | 0.05 | 1.61 | 0.32 | 0.53 | 0.06 | 1.69 | 0.33 |
Mean path length | 1.81 | 1.90 | 0.09 | 2.70 | 0.52 | 1.77 | 0.04 | 1.08 | 0.21 | 1.78 | 0.03 | 0.95 | 0.19 |
Communities | 4.00 | 6.37 | 2.37 | 75.00 | 16.82 | 7.37 | 3.37 | 103.00 | 21.10 | 6.50 | 2.50 | 77.00 | 16.70 |
Gini coefficient | 0.49 | 0.49 | 0.01 | 1.42 | 0.31 | 0.50 | 0.02 | 1.18 | 0.27 | 0.51 | 0.02 | 1.49 | 0.32 |
Average betweenness | 13.32 | 14.81 | 1.48 | 44.53 | 8.51 | 12.75 | 0.58 | 17.74 | 3.49 | 12.81 | 0.52 | 15.74 | 3.17 |
Maximum betweenness | 63.29 | 53.03 | 10.26 | 368.03 | 75.25 | 104.94 | 41.65 | 1249.56 | 238.61 | 102.52 | 39.23 | 1176.86 | 229.79 |
Average closeness | 0.02 | 0.02 | 0.00 | 0.03 | 0.01 | 0.02 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 |
Minimum closeness | 0.01 | 0.01 | 0.00 | 0.03 | 0.01 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 |
Average eigencentrality | 0.53 | 0.59 | 0.06 | 1.82 | 0.38 | 0.50 | 0.03 | 1.32 | 0.27 | 0.49 | 0.04 | 1.38 | 0.30 |
Minimum eigencentrality | 0.06 | 0.06 | 0.00 | 0.44 | 0.10 | 0.07 | 0.01 | 0.46 | 0.10 | 0.07 | 0.01 | 0.45 | 0.10 |
Network radius | 2.00 | 2.13 | 0.13 | 4.00 | 2.00 | 2.00 | 0.00 | 0.00 | 0.00 | 2.00 | 0.00 | 0.00 | 0.00 |
Average eccentricity | 2.88 | 3.08 | 0.19 | 5.79 | 1.33 | 2.79 | 0.09 | 3.74 | 0.85 | 2.80 | 0.08 | 3.68 | 0.80 |
Network diameter | 4.00 | 3.97 | 0.03 | 3.00 | 1.73 | 3.47 | 0.53 | 16.00 | 4.00 | 3.47 | 0.53 | 16.00 | 4.00 |