Table 14 Realism results for the Krackhardt High-Tech Managers 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 | 21.00 | 21.00 | 0.00 | 0.00 | 0.00 | 21.00 | 0.00 | 0.00 | 0.00 | 21.00 | 0.00 | 0.00 | 0.00 |
Links | 36.00 | 31.47 | 4.53 | 136.00 | 26.42 | 36.00 | 0.00 | 0.00 | 0.00 | 36.00 | 0.00 | 0.00 | 0.00 |
Components | 5.00 | 5.00 | 0.00 | 0.00 | 0.00 | 5.10 | 0.10 | 3.00 | 1.73 | 5.00 | 0.00 | 0.00 | 0.00 |
Network density | 0.17 | 0.15 | 0.02 | 0.65 | 0.13 | 0.17 | 0.00 | 0.00 | 0.00 | 0.17 | 0.00 | 0.00 | 0.00 |
Average degree | 3.43 | 3.00 | 0.43 | 12.95 | 2.52 | 3.43 | 0.00 | 0.00 | 0.00 | 3.43 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 2.14 | 1.88 | 0.26 | 7.82 | 1.56 | 2.70 | 0.56 | 16.83 | 3.18 | 2.72 | 0.59 | 17.60 | 3.37 |
Global cluster coefficient | 0.50 | 0.19 | 0.31 | 9.23 | 1.70 | 0.37 | 0.13 | 3.83 | 0.72 | 0.39 | 0.10 | 3.12 | 0.60 |
Average cluster coefficient | 0.59 | 0.20 | 0.39 | 11.63 | 2.14 | 0.60 | 0.02 | 1.44 | 0.32 | 0.63 | 0.05 | 1.79 | 0.41 |
Mean path length | 8.98 | 8.79 | 0.18 | 5.71 | 1.10 | 8.81 | 0.17 | 11.42 | 2.45 | 8.67 | 0.30 | 9.13 | 1.68 |
Communities | 7.00 | 7.73 | 0.73 | 24.00 | 6.48 | 7.63 | 0.63 | 23.00 | 5.75 | 7.53 | 0.53 | 20.00 | 4.69 |
Gini coefficient | 0.44 | 0.41 | 0.03 | 1.48 | 0.34 | 0.42 | 0.02 | 1.09 | 0.27 | 0.41 | 0.03 | 1.17 | 0.26 |
Average betweenness | 9.29 | 7.46 | 1.83 | 57.10 | 10.97 | 6.11 | 3.18 | 95.29 | 17.67 | 6.24 | 3.04 | 91.33 | 16.82 |
Maximum betweenness | 44.67 | 27.47 | 17.20 | 544.5 | 104.29 | 57.55 | 12.88 | 394.28 | 87.09 | 65.20 | 20.54 | 636.21 | 127.4 |
Average closeness | 0.03 | 0.03 | 0.00 | 0.10 | 0.02 | 0.03 | 0.01 | 0.20 | 0.04 | 0.03 | 0.01 | 0.19 | 0.04 |
Minimum closeness | 0.02 | 0.02 | 0.00 | 0.14 | 0.03 | 0.03 | 0.01 | 0.18 | 0.04 | 0.02 | 0.01 | 0.16 | 0.03 |
Average eigencentrality | 0.45 | 0.58 | 0.13 | 3.83 | 0.76 | 0.47 | 0.02 | 0.96 | 0.23 | 0.44 | 0.01 | 0.80 | 0.16 |
Minimum eigencentrality | 0.04 | 0.19 | 0.15 | 4.56 | 0.91 | 0.15 | 0.11 | 3.21 | 0.63 | 0.14 | 0.10 | 2.91 | 0.58 |
Network radius | 3.00 | 2.83 | 0.17 | 5.00 | 2.24 | 2.07 | 0.93 | 28.00 | 5.29 | 2.07 | 0.93 | 28.00 | 5.29 |
Average eccentricity | 3.38 | 2.79 | 0.59 | 19.29 | 3.62 | 2.45 | 0.93 | 27.95 | 5.22 | 2.44 | 0.94 | 28.10 | 5.24 |
Network diameter | 5.00 | 4.20 | 0.80 | 28.00 | 5.29 | 3.77 | 1.23 | 37.00 | 7.42 | 3.63 | 1.37 | 41.00 | 8.19 |