Table 13 Realism results for the Krackhardt Office CSS 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 | 14.00 | 12.50 | 1.50 | 45.00 | 9.75 | 14.00 | 0.00 | 0.00 | 0.00 | 14.00 | 0.00 | 0.00 | 0.00 |
Components | 9.00 | 9.43 | 0.43 | 17.00 | 4.58 | 9.13 | 0.13 | 4.00 | 2.00 | 9.17 | 0.17 | 5.00 | 2.24 |
Network density | 0.07 | 0.06 | 0.01 | 0.21 | 0.05 | 0.07 | 0.00 | 0.00 | 0.00 | 0.07 | 0.00 | 0.00 | 0.00 |
Average degree | 1.33 | 1.19 | 0.14 | 4.29 | 0.93 | 1.33 | 0.00 | 0.00 | 0.00 | 1.33 | 0.00 | 0.00 | 0.00 |
Standard deviation degree | 1.39 | 1.18 | 0.21 | 6.23 | 1.38 | 2.08 | 0.69 | 20.55 | 3.93 | 2.11 | 0.72 | 21.70 | 4.06 |
Global cluster coefficient | 0.13 | 0.08 | 0.05 | 2.91 | 0.60 | 0.14 | 0.01 | 0.69 | 0.14 | 0.13 | 0.01 | 0.59 | 0.13 |
Average cluster coefficient | 0.16 | 0.11 | 0.05 | 3.80 | 0.76 | 0.68 | 0.53 | 15.78 | 2.90 | 0.70 | 0.55 | 16.38 | 3.01 |
Mean path length | 15.84 | 16.45 | 0.61 | 41.12 | 8.83 | 14.37 | 1.48 | 44.27 | 8.77 | 14.53 | 1.31 | 41.18 | 8.38 |
Communities | 10.00 | 11.33 | 1.33 | 40.00 | 8.72 | 10.47 | 0.47 | 14.00 | 3.74 | 10.50 | 0.50 | 17.00 | 4.36 |
Gini coefficient | 0.40 | 0.33 | 0.07 | 2.04 | 0.43 | 0.42 | 0.02 | 0.77 | 0.17 | 0.42 | 0.02 | 0.80 | 0.18 |
Average betweenness | 3.67 | 3.86 | 0.20 | 53.33 | 12.11 | 3.90 | 0.23 | 27.43 | 5.73 | 3.51 | 0.16 | 22.48 | 5.23 |
Maximum betweenness | 22.50 | 25.14 | 2.64 | 315.33 | 71.60 | 55.97 | 33.47 | 1004.0 | 186.61 | 54.70 | 32.20 | 966.0 | 182.25 |
Average closeness | 0.04 | 0.06 | 0.01 | 0.66 | 0.24 | 0.04 | 0.00 | 0.17 | 0.04 | 0.05 | 0.00 | 0.17 | 0.05 |
Minimum closeness | 0.03 | 0.04 | 0.01 | 0.52 | 0.19 | 0.04 | 0.00 | 0.18 | 0.05 | 0.04 | 0.01 | 0.21 | 0.06 |
Average eigencentrality | 0.47 | 0.52 | 0.05 | 2.33 | 0.56 | 0.39 | 0.08 | 2.36 | 0.45 | 0.39 | 0.09 | 2.54 | 0.48 |
Minimum eigencentrality | 0.11 | 0.17 | 0.07 | 2.62 | 0.64 | 0.25 | 0.14 | 4.30 | 0.82 | 0.25 | 0.14 | 4.19 | 0.81 |
Network radius | 3.00 | 2.87 | 0.13 | 14.00 | 4.00 | 1.83 | 1.17 | 35.00 | 6.71 | 1.83 | 1.17 | 35.00 | 6.71 |
Average eccentricity | 2.33 | 2.41 | 0.08 | 13.00 | 3.07 | 1.77 | 0.57 | 17.05 | 3.68 | 1.66 | 0.67 | 20.10 | 3.99 |
Network diameter | 5.00 | 5.20 | 0.20 | 26.00 | 6.16 | 3.20 | 1.80 | 54.00 | 10.58 | 3.00 | 2.00 | 60.00 | 11.40 |