Applied Network Science

Table 3 Binning details for Fig. 4

From: Spreading of performance fluctuations on real-world project networks

Highway
Bin cuts	− 7.87e−04	− 2.2e−05	3.61e−04	7.44e−04	0.001127	0.00151	0.00687
Bin population	–	40	327	207	64	24	20
Lower outliers	–	4	53	32	11	3	2

Data Centre
Bin cuts	− 0.004317	0.001119	0.002931	0.004743	0.006555	0.03192
Bin population	–	948	186	23	18	10
Lower outliers	–	138	12	1	1	0

Wind farm
Bin cuts	− 0.011488	0.002938	0.004047	0.005157	0.010705
Bin population	–	128	70	40	28
Lower outliers	–	20	10	5	5

Power network
Bin cuts	− 0.002214	0.000612	0.003438	0.006264	0.009089	0.054302
Bin population	–	7	43	23	26	30
Lower outliers	–	1	4	2	1	1

The first and last bins cut values correspond to the minimum and maximum local RH score for the dataset. For the population and outliers rows, values in the nth column correspond to the bin delimited by the (n − 1)th and nth cuts. By lower outliers we designate values lower than the 16th percentile (i.e., falling below the lower bin whisker shown in the figure)

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