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Table 3 Average and standard deviations for ω k on 100 networks, True Estimate is ω k = 0.1

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)

0.1070

0.1041

0.1042

0.1051

0.10364

Weights

(StDev)

±0.0264

±0.0274

±0.0262

±0.0248

±0.0255

ESA

(Ave)

0.1069

0.1042

0.1039

0.1059

0.1045

 

(StDev)

±0.0263

±0.0273

±0.0264

±0.0255

±0.0240

Unknown

(Ave)

0.1075

0.1054

0.1063

0.1060

0.1054

Not Included

(StDev)

±0.0264

±0.0286

±0.0269

±0.0246

±0.0269

Unknown

(Ave)

0.1048

0.1101

0.0988

0.1022

0.0993

Included

(StDev)

±0.0275

±0.1035

±0.0273

±0.0301

±0.0285

No Unknown

(Ave)

0.1078

0.1057

0.1055

0.1070

0.1054

 

(StDev)

±0.0265

±0.0277

±0.0256

±0.0241

±0.0230