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Table 2 Average and standard deviations for α k on 100 networks, true value is α k = 0.5

From: An “Estimate & Score Algorithm” for simultaneous parameter estimation and reconstruction of incomplete data on social networks

 

# unknown

15

30

45

60

75

Equal

(Ave)

0.4678

0.4573

0.4340

0.4220

0.3989

Weights

(StDev)

±0.0636

±0.0759

±0.0686

±0.0726

±0.0699

ESA

(Ave)

0.4853

0.4903

0.4795

0.4786

0.4642

 

(StDev)

±0.0640

±0.0767

±0.0712

±0.0741

±0.0719

Unknown

(Ave)

0.4712

0.4646

0.4429

0.4348

0.4132

Not Included

(StDev)

±0.0638

±0.0779

±0.0700

±0.0737

±0.0702

Unknown

(Ave)

0.4580

0.4364

0.4172

0.4032

0.3855

Included

(StDev)

±0.0668

±0.0822

±0.0705

±0.0799

±0.0818

No Unknown

(Ave)

0.4820

0.4838

0.4741

0.4750

0.4595

 

(StDev)

±0.0647

±0.0759

±0.0726

±0.0748

±0.0689