Table 16 Realism results for the Webster Accounting Firm 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 | 24.00 | 24.00 | 0.00 | 0.00 | 0.00 | 24.00 | 0.00 | 0.00 | 0.00 | 24.00 | 0.00 | 0.00 | 0.00 |
Links | 150.0 | 104.7 | 45.30 | 1359.0 | 249.42 | 150.0 | 0.00 | 0.00 | 0.00 | 150.0 | 0.00 | 0.00 | 0.00 |
Components | 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 |
Network density | 0.54 | 0.38 | 0.16 | 4.92 | 0.90 | 0.54 | 0.00 | 0.00 | 0.00 | 0.54 | 0.00 | 0.00 | 0.00 |
Average degree | 12.50 | 8.73 | 3.78 | 113.25 | 20.79 | 12.50 | 0.00 | 0.00 | 0.00 | 12.50 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 5.51 | 3.48 | 2.03 | 60.90 | 11.18 | 5.20 | 0.31 | 9.19 | 1.88 | 5.22 | 0.29 | 8.81 | 1.81 |
Global cluster coefficient | 0.81 | 0.46 | 0.36 | 10.67 | 1.95 | 0.71 | 0.10 | 2.96 | 0.55 | 0.72 | 0.09 | 2.84 | 0.52 |
Average cluster coefficient | 0.78 | 0.47 | 0.31 | 9.32 | 1.72 | 0.75 | 0.03 | 0.96 | 0.20 | 0.74 | 0.04 | 1.06 | 0.21 |
Mean path length | 3.48 | 3.48 | 0.00 | 0.54 | 0.13 | 3.30 | 0.19 | 5.62 | 1.03 | 3.29 | 0.19 | 5.63 | 1.03 |
Communities | 5.00 | 4.70 | 0.30 | 37.00 | 8.78 | 4.97 | 0.03 | 27.00 | 7.14 | 5.07 | 0.07 | 28.00 | 7.07 |
Gini coefficient | 0.52 | 0.41 | 0.11 | 3.36 | 0.72 | 0.49 | 0.03 | 1.29 | 0.30 | 0.48 | 0.04 | 1.71 | 0.39 |
Average betweenness | 6.50 | 6.49 | 0.01 | 6.25 | 1.46 | 4.35 | 2.15 | 64.63 | 11.80 | 4.34 | 2.16 | 64.79 | 11.83 |
Maximum betweenness | 26.80 | 19.42 | 7.38 | 228.43 | 45.64 | 17.36 | 9.45 | 286.41 | 55.33 | 18.18 | 8.63 | 260.14 | 51.33 |
Average closeness | 0.03 | 0.03 | 0.00 | 0.02 | 0.01 | 0.03 | 0.00 | 0.11 | 0.02 | 0.03 | 0.00 | 0.11 | 0.02 |
Minimum closeness | 0.02 | 0.02 | 0.01 | 0.15 | 0.03 | 0.02 | 0.01 | 0.21 | 0.04 | 0.02 | 0.01 | 0.22 | 0.04 |
Average eigencentrality | 0.65 | 0.69 | 0.03 | 1.09 | 0.23 | 0.71 | 0.05 | 1.58 | 0.31 | 0.70 | 0.04 | 1.31 | 0.26 |
Minimum eigencentrality | 0.02 | 0.21 | 0.19 | 5.69 | 1.07 | 0.18 | 0.16 | 4.80 | 0.90 | 0.18 | 0.17 | 4.98 | 0.92 |
Network radius | 2.00 | 2.00 | 0.00 | 0.00 | 0.00 | 1.93 | 0.07 | 2.00 | 1.41 | 1.90 | 0.10 | 3.00 | 1.73 |
Average eccentricity | 2.79 | 2.25 | 0.54 | 16.13 | 2.98 | 2.00 | 0.79 | 23.79 | 4.36 | 1.99 | 0.80 | 24.08 | 4.41 |
Network diameter | 4.00 | 3.00 | 1.00 | 30.00 | 5.48 | 2.63 | 1.37 | 41.00 | 7.94 | 2.67 | 1.33 | 40.00 | 7.75 |