Table 20 Realism results for the Krebs Fortune 500 IT Department (Advice) 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 | 56.00 | 56.00 | 0.00 | 0.00 | 0.00 | 56.00 | 0.00 | 0.00 | 0.00 | 56.00 | 0.00 | 0.00 | 0.00 |
Links | 203.00 | 182.53 | 20.47 | 614.00 | 113.61 | 203.00 | 0.00 | 0.00 | 0.00 | 203.00 | 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 | 0.13 | 0.12 | 0.01 | 0.40 | 0.07 | 0.13 | 0.00 | 0.00 | 0.00 | 0.13 | 0.00 | 0.00 | 0.00 |
Average degree | 7.25 | 6.52 | 0.73 | 21.93 | 4.06 | 7.25 | 0.00 | 0.00 | 0.00 | 7.25 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 4.18 | 3.45 | 0.73 | 22.02 | 4.12 | 4.70 | 0.52 | 15.57 | 3.04 | 4.78 | 0.60 | 17.88 | 3.34 |
Global cluster coefficient | 0.35 | 0.15 | 0.20 | 5.95 | 1.09 | 0.28 | 0.07 | 2.14 | 0.40 | 0.29 | 0.06 | 1.81 | 0.34 |
Average cluster coefficient | 0.42 | 0.16 | 0.27 | 7.99 | 1.47 | 0.43 | 0.00 | 0.46 | 0.11 | 0.43 | 0.00 | 0.42 | 0.10 |
Mean path length | 4.29 | 4.22 | 0.06 | 1.87 | 0.37 | 4.15 | 0.14 | 4.12 | 0.77 | 4.15 | 0.14 | 4.20 | 0.78 |
Communities | 8.00 | 11.10 | 3.10 | 107.00 | 22.96 | 9.30 | 1.30 | 61.00 | 13.53 | 8.67 | 0.67 | 68.00 | 15.75 |
Gini coefficient | 0.43 | 0.46 | 0.03 | 1.63 | 0.34 | 0.48 | 0.05 | 1.71 | 0.38 | 0.45 | 0.02 | 1.33 | 0.30 |
Average betweenness | 36.32 | 34.61 | 1.71 | 51.38 | 10.04 | 32.55 | 3.78 | 113.30 | 21.17 | 32.47 | 3.85 | 115.46 | 21.49 |
Maximum betweenness | 262.14 | 169.51 | 92.63 | 2778.80 | 524.32 | 457.03 | 194.89 | 5846.64 | 1154.39 | 500.81 | 238.67 | 7160.13 | 1355.01 |
Average closeness | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 |
Minimum closeness | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 |
Average eigencentrality | 0.32 | 0.40 | 0.08 | 2.47 | 0.48 | 0.32 | 0.01 | 0.75 | 0.17 | 0.31 | 0.01 | 0.69 | 0.15 |
Minimum eigencentrality | 0.02 | 0.05 | 0.03 | 0.80 | 0.17 | 0.03 | 0.01 | 0.28 | 0.06 | 0.03 | 0.01 | 0.32 | 0.07 |
Network radius | 3.00 | 3.00 | 0.00 | 0.00 | 0.00 | 2.80 | 0.20 | 6.00 | 2.45 | 2.80 | 0.20 | 6.00 | 2.45 |
Average eccentricity | 3.66 | 3.56 | 0.10 | 4.09 | 0.89 | 3.45 | 0.21 | 6.93 | 1.47 | 3.48 | 0.19 | 6.84 | 1.43 |
Network diameter | 5.00 | 4.60 | 0.40 | 12.00 | 3.46 | 4.47 | 0.53 | 16.00 | 4.00 | 4.40 | 0.60 | 18.00 | 4.24 |