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

Security Informatics

Table 1 Average and standard deviations for μ _k on 100 networks, true value is μ _k = 0.01

	# unknown	15	30	45	60	75
Equal	(Ave)	0.0102	0.0098	0.0100	0.0099	0.0096
Weights	(StDev)	±0.0014	±0.0014	±0.0017	±0.0015	±0.0015
ESA	(Ave)	0.0099	0.0093	0.0093	0.0091	0.0086
	(StDev)	±0.0014	±0.0014	±0.0017	±0.0014	±0.0014
Unknown	(Ave)	0.0098	0.0091	0.0089	0.0085	0.0079
Not Included	(StDev)	±0.0014	±0.0014	±0.0017	±0.0015	±0.0015
Unknown	(Ave)	0.0117	0.0129	0.0143	0.0157	0.0167
Included	(StDev)	±0.0014	±0.0017	±0.0019	±0.0016	±0.0019
No Unknown	(Ave)	0.0100	0.0095	0.0094	0.0093	0.0088
	(StDev)	±0.0014	±0.0014	±0.0017	±0.0015	±0.0015