Table 2.
Mean (M), Standard Deviation (SD), and Analysis of Variance (ANOVA) of Network Metrics by Unit Shape.a
| Network Metricb | Compact Circlec (n = 2) | Compact Square (n = 7) | Race Track (n = 9) | Crossd (n = 6) | ANOVA Result (df = 3) | ||||
|---|---|---|---|---|---|---|---|---|---|
| M | SD | M | SD | M | SD | M | SD | ||
| Node sizee | 24.25 | 3.53 | 15.29 | 1.88 | 16.19 | 5.13 | 26.33 | 6.40 | F = 8.08, p = .001 |
| Densitye | 0.35 | 0.07 | 0.40 | 0.04 | 0.43 | 0.06 | 0.30 | 0.08 | F = 5.07, p < .01 |
| Weighted densitye | 0.21 | 0.07 | 0.26 | 0.03 | 0.27 | 0.05 | 0.17 | 0.05 | F = 6.65, p < .01 |
| Total degree centralitye | 0.22 | 0.07 | 0.27 | 0.03 | 0.28 | 0.05 | 0.29 | 0.05 | F = 6.74, p < .01 |
| Betweenness centralityf | 0.02 | 0.00 | 0.03 | 0.00 | 0.05 | 0.01 | 0.03 | 0.00 | F = 9.56, p < .001 |
| Eigenvector centralitye | 0.26 | 0.02 | 0.34 | 0.02 | 0.35 | 0.06 | 0.26 | 0.04 | F = 6.99, p < .01 |
| Clustering coefficiente | 0.50 | 0.06 | 0.53 | 0.04 | 0.50 | 0.04 | 0.42 | 0.05 | F = 7.92, p = .001 |
| Average distanceg | 2.68 | 0.66 | 2.28 | 0.18 | 2.60 | 0.27 | 2.99 | 0.31 | F = 6.47, p < .01 |
| Diffusionh | 0.71 | 0.05 | 0.67 | 0.05 | 0.87 | 0.12 | 0.77 | 0.03 | F = 9.31, p < .001 |
a Note that n for each unit shape varies as shown in the table. bWith two exceptions (node size and average distance) that are actual counts, metrics are measured on a 0–1 scale. cTwo compact circles with short connecting corridor containing elevators and support space. dIn one unit, one arm was shorter than the others. eCross different from compact square and racetrack. fCompact circle different from racetrack and cross, compact square different from racetrack. gCross different from compact square. hCompact square different from racetrack.