Table 22 Realism results for the Lazega Law 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 | 71.00 | 71.00 | 0.00 | 0.00 | 0.00 | 71.00 | 0.00 | 0.00 | 0.00 | 71.00 | 0.00 | 0.00 | 0.00 |
| Links | 726.0 | 603.0 | 123.0 | 3690.0 | 675.18 | 726.0 | 0.00 | 0.00 | 0.00 | 726.00 | 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 | 0.29 | 0.24 | 0.05 | 1.49 | 0.27 | 0.29 | 0.00 | 0.00 | 0.00 | 0.29 | 0.00 | 0.00 | 0.00 |
| Average degree | 20.45 | 16.99 | 3.47 | 103.94 | 19.02 | 20.45 | 0.00 | 0.00 | 0.00 | 20.45 | 0.00 | 0.00 | 0.00 |
| Standard deviation degree | 8.10 | 5.88 | 2.21 | 66.40 | 12.16 | 8.21 | 0.12 | 5.76 | 1.41 | 8.12 | 0.03 | 4.85 | 1.25 |
| Global cluster coefficient | 0.44 | 0.28 | 0.16 | 4.80 | 0.88 | 0.41 | 0.04 | 1.06 | 0.20 | 0.40 | 0.04 | 1.10 | 0.20 |
| Average cluster coefficient | 0.45 | 0.29 | 0.16 | 4.93 | 0.90 | 0.41 | 0.04 | 1.25 | 0.23 | 0.41 | 0.05 | 1.34 | 0.25 |
| Mean path length | 1.75 | 1.79 | 0.04 | 1.15 | 0.21 | 1.73 | 0.02 | 0.73 | 0.14 | 1.73 | 0.02 | 0.65 | 0.12 |
| Communities | 3.00 | 6.30 | 3.30 | 99.00 | 20.95 | 5.03 | 2.03 | 65.00 | 16.22 | 6.27 | 3.27 | 102.00 | 23.41 |
| Gini coefficient | 0.11 | 0.37 | 0.26 | 7.74 | 1.49 | 0.35 | 0.23 | 7.27 | 1.47 | 0.40 | 0.28 | 8.55 | 1.67 |
| Average betweenness | 26.30 | 27.64 | 1.34 | 40.28 | 7.45 | 25.45 | 0.85 | 25.37 | 4.73 | 25.54 | 0.76 | 22.65 | 4.22 |
| Maximum betweenness | 106.69 | 99.45 | 7.25 | 431.28 | 86.78 | 200.50 | 93.80 | 2814.09 | 577.96 | 193.7 | 87.00 | 2610.11 | 519.36 |
| Average closeness | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 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 | 0.45 | 0.54 | 0.10 | 2.86 | 0.54 | 0.42 | 0.03 | 0.94 | 0.20 | 0.42 | 0.03 | 0.84 | 0.18 |
| Minimum eigencentrality | 0.09 | 0.15 | 0.06 | 1.65 | 0.33 | 0.09 | 0.00 | 0.29 | 0.07 | 0.08 | 0.01 | 0.37 | 0.08 |
| Network radius | 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 |
| Average eccentricity | 2.75 | 2.66 | 0.09 | 2.56 | 0.56 | 2.47 | 0.27 | 8.18 | 1.57 | 2.54 | 0.21 | 6.30 | 1.21 |
| Network diameter | 3.00 | 3.00 | 0.00 | 0.00 | 0.00 | 3.00 | 0.00 | 0.00 | 0.00 | 3.00 | 0.00 | 0.00 | 0.00 |