Table 19 Realism results for the Bernard & Killworth Office 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 | 40.00 | 40.00 | 0.00 | 0.00 | 0.00 | 40.00 | 0.00 | 0.00 | 0.00 | 40.00 | 0.00 | 0.00 | 0.00 |
Links | 238.00 | 197.60 | 40.40 | 1212.00 | 223.29 | 238.00 | 0.00 | 0.00 | 0.00 | 238.00 | 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 | 0.25 | 0.05 | 1.55 | 0.29 | 0.31 | 0.00 | 0.00 | 0.00 | 0.31 | 0.00 | 0.00 | 0.00 |
Average degree | 11.90 | 9.88 | 2.02 | 60.60 | 11.16 | 11.90 | 0.00 | 0.00 | 0.00 | 11.90 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 4.48 | 3.39 | 1.09 | 32.72 | 6.03 | 5.11 | 0.63 | 19.40 | 3.83 | 5.05 | 0.57 | 17.59 | 3.61 |
Global cluster coefficient | 0.41 | 0.27 | 0.14 | 4.08 | 0.75 | 0.41 | 0.00 | 0.30 | 0.06 | 0.42 | 0.01 | 0.34 | 0.08 |
Average cluster coefficient | 0.43 | 0.28 | 0.15 | 4.58 | 0.84 | 0.46 | 0.03 | 0.96 | 0.20 | 0.46 | 0.03 | 0.87 | 0.19 |
Mean path length | 1.76 | 1.83 | 0.06 | 1.93 | 0.36 | 1.73 | 0.03 | 0.96 | 0.19 | 1.74 | 0.03 | 0.84 | 0.17 |
Communities | 4.00 | 5.50 | 1.50 | 55.00 | 12.12 | 4.80 | 0.80 | 42.00 | 10.86 | 5.13 | 1.13 | 54.00 | 13.64 |
Gini coefficient | 0.35 | 0.36 | 0.01 | 1.51 | 0.35 | 0.32 | 0.03 | 2.42 | 0.60 | 0.34 | 0.01 | 2.75 | 0.60 |
Average betweenness | 14.90 | 16.15 | 1.25 | 37.63 | 7.10 | 14.28 | 0.62 | 18.70 | 3.65 | 14.41 | 0.49 | 16.45 | 3.26 |
Maximum betweenness | 46.13 | 47.39 | 1.27 | 188.93 | 42.15 | 124.58 | 78.46 | 2353.65 | 456.14 | 118.82 | 72.69 | 2183.96 | 439.83 |
Average closeness | 0.02 | 0.01 | 0.00 | 0.02 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 |
Minimum closeness | 0.01 | 0.01 | 0.00 | 0.02 | 0.00 | 0.01 | 0.00 | 0.04 | 0.01 | 0.01 | 0.00 | 0.04 | 0.01 |
Average eigencentrality | 0.58 | 0.60 | 0.02 | 0.87 | 0.20 | 0.45 | 0.13 | 3.97 | 0.76 | 0.45 | 0.13 | 3.93 | 0.76 |
Minimum eigencentrality | 0.12 | 0.15 | 0.03 | 1.17 | 0.24 | 0.11 | 0.01 | 0.56 | 0.13 | 0.10 | 0.02 | 0.81 | 0.19 |
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 | 2.83 | 2.84 | 0.02 | 1.50 | 0.39 | 2.53 | 0.29 | 8.88 | 1.76 | 2.59 | 0.24 | 7.10 | 1.48 |
Network diameter | 4.00 | 3.07 | 0.93 | 28.00 | 5.29 | 3.03 | 0.97 | 29.00 | 5.39 | 3.00 | 1.00 | 30.00 | 5.48 |